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华为Mate 50 Pro智能手机评论。相机明星有问题

它可以是如此之多。 华为今年再次以高昂的价格推出了Mate 50 Pro的相机旗舰。可变光圈、光学变焦、高性能、高品质外壳和OLED屏幕可能很好地证明了这个价格 ,但还有一个问题......
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华为Mate 50 Pro

多年来,华为一直在提供神奇的相机智能手机。然而,这家中国制造商多年来也被切断了与谷歌的服务联系,并试图通过华为移动服务建立自己的生态系统。事实上,许多制造商正在将他们的应用程序移植到该平台上,但要让这些应用程序运行,往往需要某些技巧。特别是当涉及到来自谷歌的流行应用程序时,有时根本无法运行。

当然,这些并不是华为Mate 50 Pro的最佳前提条件,它的报价约为1200美元--并不完全便宜。但华为声称提供了很多回报:创新的相机,具有可变光圈,可实现自然的虚化效果,高质量的光学变焦,以及相机外的良好设备和材料质量。此外,该公司已经放弃了其麒麟芯片,现在使用高通SoC。

那么,什么占主导地位:对有限的软件感到沮丧,还是对高质量的手机感到高兴?在下面的评论中可以找到答案。

Huawei Mate 50 Pro (Mate Series)
Processor
Qualcomm Snapdragon 8+ Gen 1 8 x 1.8 - 3.2 GHz, Cortex-X2 / A710 / A510 (Kryo) Waipio
Graphics adapter
Memory
8 GB 
Display
6.70 inch 20:9, 2616 x 1212 pixel 430 PPI, capacitive touchscreen, AMOLED, 300 Hz sampling rate, glossy: yes, HDR, 120 Hz
Storage
256 GB UFS 3.1 Flash, 256 GB 
, 235 GB free
Connections
1 USB 3.0 / 3.1 Gen1, USB-C Power Delivery (PD), 1 DisplayPort, 1 Infrared, Audio Connections: audio via USB-C, Card Reader: NM card slot (shared, up to 256GB), 1 Fingerprint Reader, NFC, Brightness Sensor, Sensors: acceleration sensor, gyroscope, proximity sensor, compass, barometer
Networking
802.11 a/b/g/n/ac/ax (a/b/g/n = Wi-Fi 4/ac = Wi-Fi 5/ax = Wi-Fi 6), Bluetooth 5.2, 2G (850/​900/​1800/​1900), 3G (B1/​B2/​B4/​B5/​B6/​B8/​B19), 4G (B1/​B2/​B3/​B4/​B5/​B7/​B8/​B12/​B13/​B17/​B18/​B19/​B20/​B26/​B28/​B32/​B34/​B38/​B39/​B40/​B41/​B66) , Dual SIM, LTE, 5G, GPS
Size
height x width x depth (in mm): 8.5 x 162.1 x 75.5
Battery
4700 mAh Lithium-Ion, 66 Watt charging, 50 Watt wireless charging, 5 Watt wireless reverse charge
Charging
wireless charging, fast charging / Quickcharge
Operating System
Android 12
Camera
Primary Camera: 50 MPix f/​1.4-f/​4.0, pc-AF, laser-AF, contrast-AF, colour spectrum sensor, OIS, dual LED-flash, Videos @2160p/​60fps (Camera 1); 13.0MP, f/​2.2, wide angle (Camera 2); 64.0MP, f/​3.5, phase comparison-AF, OIS, periscope-telephoto lens (Camera 3)
Secondary Camera: 13 MPix f/​2.4, Videos @2160p/​30fps
Additional features
Speakers: stereo speakers, silicone bumper, charger, USB cable, SIM tool, 24 Months Warranty, eSIM support, IP68-certified, SAR: 0.43 W/kg (head), 1.09 W/kg (body), no Google services, fanless, waterproof
Weight
209 g
Price
1199 Euro
Note: The manufacturer may use components from different suppliers including display panels, drives or memory sticks with similar specifications.

 

潜在的竞争对手比较

Rating
Date
Model
Weight
Drive
Size
Resolution
Best Price
88.9 %
11/2022
Huawei Mate 50 Pro
SD 8+ Gen 1, Adreno 730
209 g256 GB UFS 3.1 Flash6.70"2616x1212
90.6 %
11/2020
Huawei Mate 40 Pro
Kirin 9000, Mali-G78 MP24
212 g256 GB UFS 3.1 Flash6.76"2772x1344
89.4 %
03/2022
Samsung Galaxy S22 Ultra 5G
Exynos 2200, Xclipse 920
228 g128 GB UFS 3.1 Flash6.80"3088x1440
90.3 %
10/2022
Apple iPhone 14 Pro Max
A16, A16 GPU 5-Core
240 g128 GB NVMe6.70"2796x1290
89.2 %
08/2021
Xiaomi Mi 11 Ultra
SD 888 5G, Adreno 660
234 g256 GB UFS 3.1 Flash6.81"3200x1440
87 %
08/2022
OnePlus 10T
SD 8+ Gen 1, Adreno 730
203.5 g256 GB UFS 3.1 Flash6.70"2412x1080

华为真的不能被指责在外壳上吝啬。Mate 50 Pro采用了高质量的金属和玻璃,所有元素都融合得天衣无缝。 这款智能手机通过了IP68认证,即防尘防水,并能承受压力和扭曲。

华为的Mate 50 Pro拥有黑色或银色的光面玻璃背面,上部区域有大而圆的相机模块,不仅看起来很别致,而且拿着时感觉很好,很平衡,在桌子上不会晃动。然而,这款手机非常容易沾染指纹,所以要保持其高质量的外观,就必须经常清洁。

屏幕和背面由华为的昆仑玻璃保护,据说这种玻璃特别耐摔。

华为Mate 50 Pro
华为Mate 50 Pro
华为Mate 50 Pro
华为Mate 50 Pro

尺寸比较

164.3 mm 74.6 mm 8.38 mm 234 g163.3 mm 77.9 mm 8.9 mm 228 g162.96 mm 75.5 mm 9.1 mm 212 g163 mm 75.4 mm 8.75 mm 203.5 g162.1 mm 75.5 mm 8.5 mm 209 g160.7 mm 77.6 mm 7.85 mm 240 g

设备--自己的存储卡格式

欧洲只提供华为Mate 50 Pro的一个配置版本。对于8GB内存和256GB大容量存储,华为要价1199欧元。其他国家也有512GB存储的版本。

至少,华为赋予USB-C端口稍快的传输速度,即USB-C 3.1 Gen.1,速度高达5GBit/s。DisplayPort信号也可以通过USB-C端口输出,这样智能手机就可以直接连接到显示器上。

你还可以再次期待一个红外线端口,它可以用来直接用智能手机控制电视。用于移动支付服务的NFC已经上岗,但由于缺少服务,谷歌支付无法使用。华为正在推广自己的替代方案--Huawei Pay,但这在德国和奥地利不能通过NFC使用,而是通过供应商Bluecode的条形码,只在选定的零售商那里接受。

没有microSD卡,而只支持华为自己的NM卡格式。虽然它们和nano-SIM卡一样紧凑,但目前只有少数供应商,而且这些卡的最大容量为256GB。你也可以在SIM卡托盘中插入两张SIM卡来代替。还支持eSIM。

右边:待机按钮,音量摇杆
右边:待机按钮,音量摇杆
左边:没有端口
左边:没有端口
底部。SIM卡托盘、麦克风、USB-C接口、扬声器
底部。SIM卡托盘、麦克风、USB-C接口、扬声器
顶部:红外线端口,麦克风
顶部:红外线端口,麦克风

软件--应用程序的限制

华为的软件是基于Android 的开源部分,因此谷歌操作系统的长期用户不需要进行完全的重新调整。然而,如前所述,谷歌服务是缺失的,例如,谷歌服务将智能手机的位置功能与应用程序联系起来,或提供注册选项,因此Android 应用程序必须由开发人员进行相应的调整,以便与华为的服务一起工作。

因此,并非所有的应用程序都能在华为Mate 50 Pro上使用;尤其是谷歌的应用程序通常无法使用。Chrome浏览器开始工作,但很快就抱怨缺少组件。许多东西似乎是即兴的,这可能会让没有经验的用户望而却步,比如华为的应用库在安装时警告我们,我们正在从一个可能不安全的第三方供应商那里下载一个应用。

如果你买了一个要求通过制造商的应用程序链接的设备,你应该事先检查它是否也与智能手机兼容。尽管华为表示90%的最流行的应用程序都可以使用,但它自己的替代品,如花瓣地图,通常都很好用,而且应用程序库也在不断改进。当然,当你需要的一个应用程序缺失时,这是很恼人的。

华为预装了许多广告应用和游戏,或者提供了通过主屏幕上的图标下载它们的可能性。因此,如果你想要一个干净的系统,你必须做一些整理工作。

在欧洲的第一个月里,该设备收到了两个更新。在审查时,安全补丁是2022年10月初的,因此是相当最新的。制造商承诺至少有两次操作系统更新和三年的安全补丁,这通常是标准的。

DRM L1是可用的,因此可以全质量地享受流媒体内容。

华为Mate 50 Pro的软件
华为Mate 50 Pro的软件
华为Mate 50 Pro的软件

通信和GNSS - 旗舰手机中只有4G

有点恼人的是,华为Mate 50 Pro不支持WiFi 6E:尽管支持目前最快的WLAN标准的路由器仍然非常少,但正如我们的测试所显示的,它可以带来显著的速度优势。

所以你必须满足于WiFi 6。虽然这不足以成为WLAN速度方面的佼佼者,但在与我们的华硕ROG Rapture AXE11000参考路由器的测试中,Mate 50 Pro还是实现了约950MBit/s的非常稳固的速率。

由于美国对华为的贸易限制,Mate 50 Pro只是一款4G手机,这对2022年的旗舰手机来说是一个相当大的缺陷。至少,这款智能手机涵盖了全球4G网络上所有必要的功能频率,并在我们的测试中提供了非常好的信号强度。

在中国,华为的Mate系列提供了一个功能,Apple 也为其最新一代设备引入了这个功能。如果没有手机网络,但必须进行紧急呼叫,智能手机可以回落到北斗卫星网络。这意味着,在偏远地区也可以进行通信。

Networking
iperf3 receive AXE11000
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
934 (768min - 949max) MBit/s ∼100% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
932 (835min - 949max) MBit/s ∼100%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
723 (643min - 737max) MBit/s ∼77% -22%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
716 (539min - 791max) MBit/s ∼77% -23%
Average of class Smartphone
  (44.3 - 1736, n=117, last 2 years)
604 MBit/s ∼65% -35%
iperf3 transmit AXE11000
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
942 (804min - 955max) MBit/s ∼100%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
933 (865min - 958max) MBit/s ∼99% -1%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
817 (751min - 852max) MBit/s ∼87% -13%
Average of class Smartphone
  (57.7 - 1710, n=118, last 2 years)
651 MBit/s ∼69% -31%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
521 (311min - 704max) MBit/s ∼55% -45%
iperf3 transmit AXE11000 6GHz
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
1704 (852min - 1767max) MBit/s ∼100%
Average of class Smartphone
  (853 - 1768, n=15, last 2 years)
1407 MBit/s ∼83%
iperf3 receive AXE11000 6GHz
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
1702 (1642min - 1735max) MBit/s ∼100%
Average of class Smartphone
  (598 - 1751, n=15, last 2 years)
1284 MBit/s ∼75%
iperf3 transmit AX12
Huawei Mate 40 Pro
Mali-G78 MP24, Kirin 9000, 256 GB UFS 3.1 Flash
1395 (689min - 1434max) MBit/s ∼100%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
1190 (1121min - 1230max) MBit/s ∼85%
Average of class Smartphone
  (5.59 - 1368, n=145, last 2 years)
488 MBit/s ∼35%
iperf3 receive AX12
Huawei Mate 40 Pro
Mali-G78 MP24, Kirin 9000, 256 GB UFS 3.1 Flash
1348 (1217min - 1413max) MBit/s ∼100%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
779 (363min - 824max) MBit/s ∼58%
Average of class Smartphone
  (15.5 - 953, n=146, last 2 years)
461 MBit/s ∼34%
050100150200250300350400450500550600650700750800850900950Tooltip
Huawei Mate 50 Pro; iperf3 receive AXE11000; iperf 3.1.3: Ø932 (835-949)
Huawei Mate 50 Pro; iperf3 transmit AXE11000; iperf 3.1.3: Ø942 (804-955)
户外的GPS测试
户外的GPS测试

华为支持多种网络用于智能手机的卫星定位,即GPS、AGS、GLONASS、BeiDou、Galileo、QZSS和NavIC。户外定位非常迅速和精确,精确度高达3米。

这款智能手机通过了我们的实际测试,即用Garmin Venu 2作为对比设备进行自行车骑行,成绩斐然。除了在骑行结束时有一点偏差外,Mate 50 Pro的追踪能力非常精确。

华为Mate 50 Pro的本地化 - 概述
华为Mate 50 Pro的本地化 - 概述
华为Mate 50 Pro的本土化 - 环节
华为Mate 50 Pro的本土化 - 环节
华为Mate 50 Pro的本土化 - 桥梁
华为Mate 50 Pro的本土化 - 桥梁
Garmin Venu 2的本地化 - 概述
Garmin Venu 2的本地化 - 概述
Garmin Venu 2的定位--环路
Garmin Venu 2的定位--环路
华为Mate 50 Pro的本土化 - 桥梁
华为Mate 50 Pro的本土化 - 桥梁

电话和语音质量 - 清晰易懂

华为的标准电话和联系人应用程序已预装在设备上。我们也能够通过apk下载谷歌的标准应用,并顺利使用,尽管他们抱怨说设备不支持。

这款智能手机的语音质量非常好。听筒可以变得非常响亮,这就是为什么附近的人可能会听到我们的对话伙伴在说什么。无论是在设备上打电话,还是在免提通话时,扬声器的声音也能清晰传送。然而,人们不应说话太轻,否则麦克风可能无法接收我们的声音。

相机 - 锐度、变焦和虚化都令人印象深刻

用前置摄像头拍照
用前置摄像头拍照

华为已经停止了与徕卡的长期合作,现在推出的华为Mate 50 Pro没有这个著名品牌的名字。与前代产品相比,背面的相机设置已被完全修改 华为Mate 40 Pro.

这包括一个具有可变光圈的5000万像素主摄像头和一个光学图像稳定器。为了实现更高的光输出,图像通常以1250万像素拍摄,但也有可能使用全分辨率。

这款相机拍摄的照片非常漂亮,主要的主体清晰显示,背景略微模糊。在环境照片中,可以看到很多细节,尽管是多云天气,但色彩还原度仍然很好。即使在烛光下,华为Mate 50 Pro仍能拍出具有大量细节和光线充足区域的好照片,而Honor Magic4 Pro在这里显示出稍多的动态效果。

在潜望镜相机的帮助下,真正的光学变焦是可能的。图像处理器从主摄像头和变焦镜头的同步照片中渲染出最终图像,因此,即使在较远的距离,照片也相当清晰。

视频可以以4K分辨率和60FPS的速度录制。然而,考虑到价格范围,没有选项可以录制8K的电影。尽管如此,华为Mate 50 Pro生产的移动图像质量非常好。在录制过程中,超广角和主摄像头之间的混合变焦也是可能的。

在前面,有一个1300万像素的自拍相机。它可以非常清晰地显示人脸,但在黑暗区域可以做得更有活力。

Image Comparison

Choose a scene and navigate within the first image. One click changes the position on touchscreens. One click on the zoomed-in image opens the original in a new window. The first image shows the scaled photograph of the test device.

Main camera - flowerMain camera - environmentMain camera - low lightWide angle camera
click to load images

作为一项特殊的创新,华为Mate 50 Pro在主摄像头中集成了一个物理存在的可变光圈,目的是为了确保背景的柔和和精确的模糊效果。

我们将虚化效果与其他强摄像头的智能手机进行比较,发现Mate 50 Pro实际上做得非常好。聚焦的一品红显示得非常清晰,而背景的模糊程度并不高,这使得植物非常突出。由于采用了可变光圈,虚化效果的强度甚至可以调节。

镜头 Honor Magic4 Pro也做得很好,而谷歌Pixel 7 Pro的数字生成的虚化效果则是 谷歌Pixel 7 Pro显得过于夸张,也不太准确。

Mate 50 Pro在实验室条件下也能拍出非常清晰的照片,在只有1勒克斯的情况下也能很好地照亮拍摄对象。

华为Mate 50 Pro的虚化效果
华为Mate 50 Pro的虚化效果
Honor Magic4 Pro的虚化效果
Honor Magic4 Pro的虚化效果
谷歌Pixel 7 Pro的虚化效果
谷歌Pixel 7 Pro的虚化效果
ColorChecker
12.5 ∆E
8.4 ∆E
15.1 ∆E
17.3 ∆E
11.1 ∆E
8.4 ∆E
8.1 ∆E
13.1 ∆E
8.6 ∆E
4.3 ∆E
7.4 ∆E
5.6 ∆E
7.8 ∆E
12.5 ∆E
7.8 ∆E
0.6 ∆E
5.5 ∆E
13 ∆E
9.9 ∆E
6.1 ∆E
6.7 ∆E
8.7 ∆E
5.3 ∆E
3.4 ∆E
ColorChecker Huawei Mate 50 Pro: 8.63 ∆E min: 0.58 - max: 17.3 ∆E
ColorChecker
8.8 ∆E
8.3 ∆E
10.7 ∆E
14 ∆E
11.4 ∆E
12.7 ∆E
6.4 ∆E
8 ∆E
7.9 ∆E
8.3 ∆E
12.1 ∆E
11.2 ∆E
6.8 ∆E
9.3 ∆E
6.4 ∆E
9 ∆E
9 ∆E
13.6 ∆E
10.6 ∆E
8.9 ∆E
8.7 ∆E
11.4 ∆E
12 ∆E
11.7 ∆E
ColorChecker Huawei Mate 50 Pro: 9.89 ∆E min: 6.37 - max: 14 ∆E

配件和保修 - 几乎没有任何官方配件可以购买

华为在智能手机的盒子里装了一包像样的配件:包括一个66瓦的充电器、一条USB线、一个硅胶保险杠和一个SIM卡工具。显示屏前贴有保护膜。

华为在德国为其手机提供24个月的保修。这在其他国家可能有所不同,所以购买前一定要向供应商咨询。

输入设备和操作 - 准确的面部识别

触摸屏的四角有玻璃弧度,可以进行非常精确的输入,并且由于120赫兹的面板和每秒300次的触摸查询,所以反应非常灵敏。即使手指躺在边缘也不会影响操作。

显示器玻璃下的指纹传感器可用于认证。它能非常准确地识别先前注册的手指,并几乎立即解锁手机。

华为正在效仿Apple ,并在前面安装了一个红外传感器,用于面部识别,并与前置摄像头一起创建一个3D图像,从而使该技术不容易被欺骗。面部识别在黑暗中也能快速、可靠地工作。

纵向模式下的键盘
纵向模式下的键盘
横向模式下的键盘
横向模式下的键盘

显示屏 - 华为采用非常明亮的AMOLED屏幕

Mate 50 Pro的AMOLED屏幕为2,616 x 1,212像素,与这个价格范围内的其他手机相比,像素略少。另一方面,肉眼看不到这种差异,内容显示仍然非常清晰。

在我们用分光光度计的测试中,我们测得平均亮度为944.8cd/m²。这是一个很好的值,但它不能完全跟上S22 Ultra的最高值。 Galaxy S22 UltraiPhone 14 Pro Max。不过,对于HDR播放来说,这已经足够了。

918
cd/m²
931
cd/m²
968
cd/m²
921
cd/m²
940
cd/m²
985
cd/m²
912
cd/m²
937
cd/m²
991
cd/m²
Distribution of brightness
X-Rite i1Pro 2
Maximum: 991 cd/m² (Nits) Average: 944.8 cd/m² Minimum: 1.9 cd/m²
Brightness Distribution: 92 %
Center on Battery: 940 cd/m²
Contrast: ∞:1 (Black: 0 cd/m²)
ΔE Color 1.18 | 0.59-29.43 Ø5.2
ΔE Greyscale 2.1 | 0.57-98 Ø5.5
99.8% sRGB (Calman 2D)
Gamma: 2.217
Huawei Mate 50 Pro
AMOLED, 2616x1212, 6.70
Huawei Mate 40 Pro
OLED, 2772x1344, 6.76
Samsung Galaxy S22 Ultra 5G
Dynamic AMOLED, 3088x1440, 6.80
Apple iPhone 14 Pro Max
Super Retina XDR OLED, 2796x1290, 6.70
Xiaomi Mi 11 Ultra
AMOLED, 3200x1440, 6.81
OnePlus 10T
Fluid AMOLED, 2412x1080, 6.70
Screen
-15%
17%
7%
-9%
-31%
Brightness middle
940
778
-17%
1077
15%
1061
13%
891
-5%
861
-8%
Brightness
945
782
-17%
1093
16%
1057
12%
888
-6%
856
-9%
Brightness Distribution
92
95
3%
97
5%
99
8%
99
8%
97
5%
Black Level *
Colorchecker dE 2000 *
1.18
1.4
-19%
1.2
-2%
1.3
-10%
1.9
-61%
2.27
-92%
Colorchecker dE 2000 max. *
2.86
3.5
-22%
2
30%
3.1
-8%
3.7
-29%
4.17
-46%
Greyscale dE 2000 *
2.1
2.5
-19%
1.3
38%
1.6
24%
1.3
38%
2.9
-38%
Gamma
2.217 99%
2.22 99%
2.37 93%
2.19 100%
2.3 96%
2.303 96%
CCT
6352 102%
6530 100%
6526 100%
6511 100%
6527 100%
6141 106%

* ... smaller is better

Screen Flickering / PWM (Pulse-Width Modulation)

To dim the screen, some notebooks will simply cycle the backlight on and off in rapid succession - a method called Pulse Width Modulation (PWM) . This cycling frequency should ideally be undetectable to the human eye. If said frequency is too low, users with sensitive eyes may experience strain or headaches or even notice the flickering altogether.
Screen flickering / PWM detected 119.9 Hz

The display backlight flickers at 119.9 Hz (Likely utilizing PWM) .

The frequency of 119.9 Hz is very low, so the flickering may cause eyestrain and headaches after extended use.

In comparison: 53 % of all tested devices do not use PWM to dim the display. If PWM was detected, an average of 19590 (minimum: 5 - maximum: 3846000) Hz was measured.

0%的亮度
0%的亮度
25%的亮度
25%的亮度
50%的亮度
50%的亮度
75%的亮度
75%的亮度
100%的亮度
100%的亮度

在固定的变焦水平和不同的亮度设置下进行的一系列测量

华为放过了用户的眼睛。即使在最低亮度设置下,在我们用示波器进行的测试中,也只能看到120赫兹的帧率,但没有PWM信号。屏幕的响应时间非常短,所以游戏玩家会很高兴。

在我们的测试中,色彩再现非常准确,所以肉眼看不到色调的差异。

CalMAN灰度
CalMAN灰度
CalMAN颜色精度
CalMAN颜色精度
卡尔曼sRGB色彩空间
卡尔曼sRGB色彩空间
CalMAN AdobeRGB色彩空间
CalMAN AdobeRGB色彩空间
CalMAN DCI P3色彩空间
CalMAN DCI P3色彩空间
卡尔曼饱和度
卡尔曼饱和度

Display Response Times

Display response times show how fast the screen is able to change from one color to the next. Slow response times can lead to afterimages and can cause moving objects to appear blurry (ghosting). Gamers of fast-paced 3D titles should pay special attention to fast response times.
       Response Time Black to White
1.6 ms ... rise ↗ and fall ↘ combined↗ 1 ms rise
↘ 0.6 ms fall
The screen shows very fast response rates in our tests and should be very well suited for fast-paced gaming.
In comparison, all tested devices range from 0.4 (minimum) to 240 (maximum) ms. » 2 % of all devices are better.
This means that the measured response time is better than the average of all tested devices (22.7 ms).
       Response Time 50% Grey to 80% Grey
1.3 ms ... rise ↗ and fall ↘ combined↗ 0.6 ms rise
↘ 0.7 ms fall
The screen shows very fast response rates in our tests and should be very well suited for fast-paced gaming.
In comparison, all tested devices range from 0.25 (minimum) to 636 (maximum) ms. » 1 % of all devices are better.
This means that the measured response time is better than the average of all tested devices (35.9 ms).

明亮的显示屏在户外也有不错的表现。即使在秋天的阳光直射下,屏幕的大多数部分仍然可见。视角也没有问题,所以从侧面看屏幕也没有问题。

户外使用
户外使用
视角稳定
视角稳定

性能 - 现在采用高通SoC

华为为Mate 50 Pro的SoC准备了一个小惊喜。这款智能手机没有使用内部的麒麟处理器,由于贸易限制,华为不得不停止生产该处理器。相反,华为现在使用的是高通Snapdragon 8+ Gen 1,这是目前市场上最强大的SoC之一。

华为Mate 50 Pro不能完全跟上新iPhone的步伐,但它确实在竞争性Android 设备的基准测试中占据了第一位。在日常使用中,这足以实现流畅的操作,即使是在性能非常密集的应用程序中。

Geekbench 5.4
Single-Core
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
1885 Points ∼100% +103%
Average Qualcomm Snapdragon 8+ Gen 1
  (930 - 1356, n=14)
1292 Points ∼69% +39%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
1277 Points ∼68% +37%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
1154 Points ∼61% +24%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
989 Points ∼52% +6%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
930 Points ∼49%
Average of class Smartphone
  (58 - 1885, n=265, last 2 years)
737 Points ∼39% -21%
Multi-Core
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
5533 Points ∼100% +34%
Average Qualcomm Snapdragon 8+ Gen 1
  (3987 - 4436, n=14)
4218 Points ∼76% +2%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
4139 Points ∼75%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
3987 Points ∼72% -4%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
3560 Points ∼64% -14%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
3462 Points ∼63% -16%
Average of class Smartphone
  (248 - 5538, n=265, last 2 years)
2374 Points ∼43% -43%
Antutu v9 - Total Score
Average Qualcomm Snapdragon 8+ Gen 1
  (846323 - 1119358, n=13)
1024648 Points ∼100% +18%
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
949107 Points ∼93% +9%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
870815 Points ∼85%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
846323 Points ∼83% -3%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
801983 Points ∼78% -8%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
704479 Points ∼69% -19%
Average of class Smartphone
  (111952 - 1119358, n=160, last 2 years)
584886 Points ∼57% -33%
PCMark for Android - Work 3.0
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
15944 Points ∼100% +45%
Average Qualcomm Snapdragon 8+ Gen 1
  (11029 - 17727, n=13)
14935 Points ∼94% +35%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
13982 Points ∼88% +27%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
12579 Points ∼79% +14%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
11029 Points ∼69%
Average of class Smartphone
  (4436 - 19200, n=213, last 2 years)
10352 Points ∼65% -6%
CrossMark - Overall
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
1329 Points ∼100% +28%
Average Qualcomm Snapdragon 8+ Gen 1
  (806 - 1178, n=13)
1046 Points ∼79% +1%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
1038 Points ∼78%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
990 Points ∼74% -5%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
942 Points ∼71% -9%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
806 Points ∼61% -22%
Average of class Smartphone
  (226 - 1332, n=97, last 2 years)
775 Points ∼58% -25%
BaseMark OS II
Overall
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
8320 Points ∼100% +16%
Average Qualcomm Snapdragon 8+ Gen 1
  (6423 - 8753, n=13)
7736 Points ∼93% +8%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
7178 Points ∼86%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
6365 Points ∼77% -11%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
6319 Points ∼76% -12%
Average of class Smartphone
  (411 - 8753, n=179, last 2 years)
4625 Points ∼56% -36%
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
Points ∼0% -100%
System
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
12230 Points ∼100% +10%
Average Qualcomm Snapdragon 8+ Gen 1
  (10047 - 13563, n=13)
12129 Points ∼99% +9%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
11164 Points ∼91%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
10464 Points ∼86% -6%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
9696 Points ∼79% -13%
Average of class Smartphone
  (2083 - 19657, n=179, last 2 years)
8168 Points ∼67% -27%
Memory
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
8822 Points ∼100% +16%
Average Qualcomm Snapdragon 8+ Gen 1
  (6124 - 9017, n=13)
7787 Points ∼88% +3%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
7587 Points ∼86%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
7453 Points ∼84% -2%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
6212 Points ∼70% -18%
Average of class Smartphone
  (670 - 11617, n=179, last 2 years)
5204 Points ∼59% -31%
Graphics
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
24037 Points ∼100% +20%
Average Qualcomm Snapdragon 8+ Gen 1
  (16742 - 26660, n=13)
21343 Points ∼89% +6%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
20111 Points ∼84%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
17104 Points ∼71% -15%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
12776 Points ∼53% -36%
Average of class Smartphone
  (697 - 26660, n=179, last 2 years)
8925 Points ∼37% -56%
Web
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
1833 Points ∼100% +18%
Average Qualcomm Snapdragon 8+ Gen 1
  (1559 - 2006, n=13)
1813 Points ∼99% +16%
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
1782 Points ∼97% +14%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
1559 Points ∼85%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
1434 Points ∼78% -8%
Average of class Smartphone
  (10 - 2392, n=179, last 2 years)
1407 Points ∼77% -10%
UL Procyon AI Inference - Overall Score
Average Qualcomm Snapdragon 8+ Gen 1
  (3291 - 84787, n=12)
61653 Points ∼100% +1773%
Average of class Smartphone
  (207 - 84787, n=97, last 2 years)
23194 Points ∼38% +605%
Huawei Mate 40 Pro
HiSilicon Kirin 9000, Mali-G78 MP24, 8192
15682 Points ∼25% +377%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
11648 Points ∼19% +254%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
10841 Points ∼18% +229%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
3291 Points ∼5%
AImark - Score v2.x
Xiaomi Mi 11 Ultra
Qualcomm Snapdragon 888 5G, Adreno 660, 12288
262983 Points ∼100% +25114%
Average of class Smartphone
  (1043 - 286905, n=156, last 2 years)
51780 Points ∼20% +4865%
Apple iPhone 14 Pro Max
Apple A16 Bionic, A16 GPU 5-Core, 6144
38169 Points ∼15% +3560%
OnePlus 10T
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 16384
6955 Points ∼3% +567%
Average Qualcomm Snapdragon 8+ Gen 1
  (1043 - 7865, n=11)
6385 Points ∼2% +512%
Samsung Galaxy S22 Ultra 5G
Samsung Exynos 2200, Xclipse 920, 8192
6217 Points ∼2% +496%
Huawei Mate 50 Pro
Qualcomm Snapdragon 8+ Gen 1, Adreno 730, 8192
1043 Points ∼0%

在图形性能方面,Mate 50 Pro也能跟上市场上最快的设备,所以它也能很好地连接显示器和图形要求高的应用程序。有趣的是,在较简单的基准测试中,屏幕上的帧率也达到了60帧以上,但在更复杂的测试中,智能手机锁定在60帧。

3DMark / Wild Life Extreme Unlimited
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
3196 Points ∼100% +18%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
2876 Points ∼90% +6%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
2708 Points ∼85%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
1916 Points ∼60% -29%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
1498 Points ∼47% -45%
3DMark / Wild Life Extreme
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
3365 Points ∼100% +21%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
2824 Points ∼84% +2%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
2775 Points ∼82%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
2044 Points ∼61% -26%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
1552 Points ∼46% -44%
3DMark / Wild Life Unlimited Score
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
12367 Points ∼100% +12%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
11084 Points ∼90%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
10989 Points ∼89% -1%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
7288 Points ∼59% -34%
Huawei Mate 40 Pro
Mali-G78 MP24, Kirin 9000, 256 GB UFS 3.1 Flash
6923 Points ∼56% -38%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
5734 Points ∼46% -48%
GFXBench (DX / GLBenchmark) 2.7 / T-Rex Onscreen
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
120 fps ∼100% +100%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
118 fps ∼98% +97%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼50% 0%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
60 fps ∼50% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼50%
GFXBench (DX / GLBenchmark) 2.7 / T-Rex Offscreen
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
455 fps ∼100% +1%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
451 fps ∼99%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
435 fps ∼96% -4%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
302 fps ∼66% -33%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
281 fps ∼62% -38%
GFXBench 3.0 / Manhattan Onscreen OGL
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
108 fps ∼100% +80%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
98 fps ∼91% +63%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼56% 0%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
60 fps ∼56% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼56%
GFXBench 3.0 / 1080p Manhattan Offscreen
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
289 fps ∼100% +11%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
260 fps ∼90%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
221 fps ∼76% -15%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
187 fps ∼65% -28%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
177 fps ∼61% -32%
GFXBench 3.1 / Manhattan ES 3.1 Onscreen
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
71 fps ∼100% +18%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
62 fps ∼87% +3%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼85% 0%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
60 fps ∼85% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼85%
GFXBench 3.1 / Manhattan ES 3.1 Offscreen
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
187 fps ∼100% +6%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
176 fps ∼94%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
171 fps ∼91% -3%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
127 fps ∼68% -28%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
121 fps ∼65% -31%
GFXBench / Car Chase Onscreen
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼100% 0%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
60 fps ∼100% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼100%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
39 fps ∼65% -35%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
35 fps ∼58% -42%
GFXBench / Car Chase Offscreen
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
108 fps ∼100% +6%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
102 fps ∼94%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
98 fps ∼91% -4%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
71 fps ∼66% -30%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
68 fps ∼63% -33%
GFXBench / Aztec Ruins High Tier Onscreen
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
59 fps ∼100% +9%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
54 fps ∼92% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
54 fps ∼92%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
31 fps ∼53% -43%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
26 fps ∼44% -52%
GFXBench / Aztec Ruins High Tier Offscreen
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
45 fps ∼100%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
44 fps ∼98% -2%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
41 fps ∼91% -9%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
30 fps ∼67% -33%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
30 fps ∼67% -33%
GFXBench / Aztec Ruins Normal Tier Onscreen
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
88 fps ∼100%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
60 fps ∼68% -32%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
60 fps ∼68% -32%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
44 fps ∼50% -50%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
42 fps ∼48% -52%
GFXBench / Aztec Ruins Normal Tier Offscreen
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
133 fps ∼100% +8%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
123 fps ∼92% 0%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
123 fps ∼92%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
85 fps ∼64% -31%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
68 fps ∼51% -45%

Mate 50 Pro在浏览器基准测试中失败了,在某些情况下甚至比前代产品更慢。这在浏览网页时也很明显。虽然网页加载相对较快,但其他智能手机在滚动时立即显示图像,但在华为的智能手机上你必须等待更长时间。

Jetstream 2 - Total Score
Apple iPhone 14 Pro Max (Safari 16)
278.979 Points ∼100% +266%
Average Qualcomm Snapdragon 8+ Gen 1 (76.2 - 155, n=13)
119.6 Points ∼43% +57%
Samsung Galaxy S22 Ultra 5G (Chrome 99)
96.8 Points ∼35% +27%
Xiaomi Mi 11 Ultra (Chrome91)
94.3 Points ∼34% +24%
OnePlus 10T (Chrome 104)
81.383 Points ∼29% +7%
Huawei Mate 40 Pro (Huawei Browser 11)
79.6 Points ∼29% +4%
Huawei Mate 50 Pro (Chrome 107)
76.2 Points ∼27%
Average of class Smartphone (14.8 - 282, n=176, last 2 years)
73.4 Points ∼26% -4%
Speedometer 2.0 - Result
Apple iPhone 14 Pro Max (Safari 16)
371 runs/min ∼100% +437%
Samsung Galaxy S22 Ultra 5G (Chrome 99)
108 runs/min ∼29% +56%
Average Qualcomm Snapdragon 8+ Gen 1 (69.1 - 134, n=10)
102.3 runs/min ∼28% +48%
Xiaomi Mi 11 Ultra (Chrome91)
98 runs/min ∼26% +42%
OnePlus 10T (Chrome 104)
93.4 runs/min ∼25% +35%
Huawei Mate 40 Pro (Huawei Browser 11)
84.6 runs/min ∼23% +22%
Average of class Smartphone (12.5 - 375, n=163, last 2 years)
70.3 runs/min ∼19% +2%
Huawei Mate 50 Pro (Chome 107)
69.1 runs/min ∼19%
WebXPRT 4 - Overall Score
Apple iPhone 14 Pro Max (Safari 16)
201 Points ∼100% +191%
Average Qualcomm Snapdragon 8+ Gen 1 (69 - 146, n=11)
111.1 Points ∼55% +61%
Average of class Smartphone (25 - 202, n=53, last 2 years)
88.1 Points ∼44% +28%
OnePlus 10T
75 Points ∼37% +9%
Huawei Mate 50 Pro (Chrome 107)
69 Points ∼34%
WebXPRT 3 - ---
Apple iPhone 14 Pro Max (Safari 16)
288 Points ∼100% +167%
Average Qualcomm Snapdragon 8+ Gen 1 (106 - 209, n=10)
154.2 Points ∼54% +43%
Huawei Mate 40 Pro (Huawei Browser 11)
147 Points ∼51% +36%
Xiaomi Mi 11 Ultra (Chrome91)
141 Points ∼49% +31%
Samsung Galaxy S22 Ultra 5G (Chrome 99)
124 Points ∼43% +15%
Huawei Mate 50 Pro (Chrome 107)
108 Points ∼38%
OnePlus 10T (Chrome 104)
106 Points ∼37% -2%
Average of class Smartphone (27 - 292, n=176, last 2 years)
101.9 Points ∼35% -6%
Octane V2 - Total Score
Apple iPhone 14 Pro Max (Safari 16)
72024 Points ∼100% +186%
Average Qualcomm Snapdragon 8+ Gen 1 (17622 - 54646, n=13)
40189 Points ∼56% +60%
OnePlus 10T (Chrome 104)
39982 Points ∼56% +59%
Samsung Galaxy S22 Ultra 5G (Chrome 99)
34055 Points ∼47% +35%
Xiaomi Mi 11 Ultra (Chrome91)
33423 Points ∼46% +33%
Average of class Smartphone (3905 - 74261, n=195, last 2 years)
26805 Points ∼37% +7%
Huawei Mate 40 Pro (Huawei Browser 11)
26597 Points ∼37% +6%
Huawei Mate 50 Pro (Chrome 107)
25168 Points ∼35%
Mozilla Kraken 1.1 - Total Score
Average of class Smartphone (414 - 12437, n=186, last 2 years)
2582 ms * ∼100% -51%
Xiaomi Mi 11 Ultra (Chrome91)
1782 ms * ∼69% -4%
Huawei Mate 50 Pro (Chrome 107)
1706.5 ms * ∼66%
Huawei Mate 40 Pro (Huawei Browser 11)
1671 ms * ∼65% +2%
OnePlus 10T (Chrome 104)
1627.3 ms * ∼63% +5%
Samsung Galaxy S22 Ultra 5G (Chrome 99)
1259 ms * ∼49% +26%
Average Qualcomm Snapdragon 8+ Gen 1 (763 - 1707, n=12)
1124 ms * ∼44% +34%
Apple iPhone 14 Pro Max (Safari 16)
469.9 ms * ∼18% +72%

* ... smaller is better

有了UFS 3.1存储,华为Mate 50 Pro就能跟上时代。前代产品仍能更快地传输数据,但快速的存储使系统整体上更加流畅。

Huawei Mate 50 ProHuawei Mate 40 ProSamsung Galaxy S22 Ultra 5GXiaomi Mi 11 UltraOnePlus 10TAverage 256 GB UFS 3.1 FlashAverage of class Smartphone
AndroBench 3-5
5%
-7%
-13%
-31%
-9%
-45%
Sequential Read 256KB
1835.8
2037
11%
1653
-10%
1928
5%
1568.37
-15%
1774 ?(1014 - 2037, n=65)
-3%
993 ?(45.6 - 1999, n=256, last 2 years)
-46%
Sequential Write 256KB
1104.8
1321
20%
1074
-3%
756
-32%
847.69
-23%
1046 ?(452 - 1783, n=65)
-5%
568 ?(11.9 - 1783, n=256, last 2 years)
-49%
Random Read 4KB
263.4
325
23%
322.3
22%
259.3
-2%
173.45
-34%
275 ?(173.5 - 543, n=65)
4%
183.3 ?(13.5 - 543, n=256, last 2 years)
-30%
Random Write 4KB
423.6
277.6
-34%
273.1
-36%
329.7
-22%
211.24
-50%
295 ?(197.5 - 490, n=66)
-30%
185.1 ?(18.4 - 503, n=257, last 2 years)
-56%

游戏--甚至可以在高设置下进行

不幸的是,无论是GameBench和其他帧率跟踪器都拒绝在华为Mate 50 Pro上工作。因此,我们不能提供具体的帧率,而只能提供我们对游戏的印象。

我们对《PUBG移动版》、《暗黑破坏神不朽》和其他游戏进行了一些测试运行,从未出现过任何问题。你经常可以选择最大的图形设置,如《PUBG》中的 "UltraHD "或《暗黑破坏神》中的 "Very High",而游戏仍然运行得非常流畅。

通过精确的触摸屏和微调的传感器进行的游戏控制也运行得非常流畅。

暗黑破坏神不朽
暗黑破坏神不朽
PUBG手机版
PUBG手机版

排放--热舞

温度

在负载下,华为智能手机的温度明显上升到45.1℃。

与前代产品一样,Mate 50 Pro在长时间的负载下保持性能也有问题。在3DMark压力测试中,我们看到在第一次运行时,经过几次测试,性能明显下降到几乎60%,甚至低于40%。

Max. Load
 45.1 °C41.6 °C35.7 °C 
 44.6 °C40.9 °C35.7 °C 
 43.5 °C39.6 °C35.9 °C 
Maximum: 45.1 °C
Average: 40.3 °C
33.2 °C38 °C41.2 °C
34.2 °C36.5 °C40.9 °C
33.4 °C37.6 °C40.7 °C
Maximum: 41.2 °C
Average: 37.3 °C
Power Supply (max.)  42.3 °C | Room Temperature 20.5 °C | Fluke t3000FC (calibrated), Voltcraft IR-260
(-) The average temperature for the upper side under maximal load is 40.3 °C / 105 F, compared to the average of 32.7 °C / 91 F for the devices in the class Smartphone.
(-) The maximum temperature on the upper side is 45.1 °C / 113 F, compared to the average of 35 °C / 95 F, ranging from 22 to 52.9 °C for the class Smartphone.
(±) The bottom heats up to a maximum of 41.2 °C / 106 F, compared to the average of 33.8 °C / 93 F
(+) In idle usage, the average temperature for the upper side is 31 °C / 88 F, compared to the device average of 32.7 °C / 91 F.

3DMark Wild Life Stress Test

3DMark
Wild Life Stress Test Stability
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
92.7 % ∼100% +138%
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
92.5 % ∼100% +137%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
80.1 % ∼86% +105%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
58.5 % ∼63% +50%
Huawei Mate 40 Pro
Mali-G78 MP24, Kirin 9000, 256 GB UFS 3.1 Flash
49.3 % ∼53% +26%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
39 % ∼42%
Wild Life Extreme Stress Test
Xiaomi Mi 11 Ultra
Adreno 660, SD 888 5G, 256 GB UFS 3.1 Flash
93.5 % ∼100% +66%
Apple iPhone 14 Pro Max
A16 GPU 5-Core, A16, 128 GB NVMe
66.7 % ∼71% +19%
Samsung Galaxy S22 Ultra 5G
Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash
61.8 % ∼66% +10%
Huawei Mate 50 Pro
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
56.2 % ∼60%
OnePlus 10T
Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash
% ∼0% -100%
0510152025303540455055606570Tooltip
Huawei Mate 50 Pro Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash; Wild Life Extreme Stress Test; 1.1.0.2: Ø15 (9.27-16.5)
Samsung Galaxy S22 Ultra 5G Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash; Wild Life Extreme Stress Test; 1.0.8.1: Ø9.2 (7.76-12.6)
Apple iPhone 14 Pro Max A16 GPU 5-Core, A16, 128 GB NVMe; Wild Life Extreme Stress Test: Ø14.4 (13.4-20.1)
Huawei Mate 50 Pro Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash; Wild Life Stress Test Stability; 0.0.0.0: Ø54.1 (25-64.1)
Samsung Galaxy S22 Ultra 5G Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash; Wild Life Stress Test Stability: Ø32.2 (25.9-44.2)
Apple iPhone 14 Pro Max A16 GPU 5-Core, A16, 128 GB NVMe; Wild Life Stress Test Stability: Ø50.6 (47.5-59.3)
OnePlus 10T Adreno 730, SD 8+ Gen 1, 256 GB UFS 3.1 Flash; Wild Life Stress Test Stability; 0.0.0.0: Ø61.8 (59-63.6)
Samsung Galaxy S22 Ultra 5G Xclipse 920, Exynos 2200, 128 GB UFS 3.1 Flash; Wild Life Unlimited Stress Test Stability: Ø32.3 (26.8-43.4)
Apple iPhone 14 Pro Max A16 GPU 5-Core, A16, 128 GB NVMe; Wild Life Unlimited Stress Test Stability: Ø55.3 (50.8-74)
热图前沿
热图前沿
热图回放
热图回放

发言人

Mate 50 Pro在底部边缘使用了一个完整的扬声器,手机的听筒也用于支持。因此,在横向模式下也可以实现立体声效果。声音一般,相当清晰,很适合音乐播放,即使缺乏低音,几乎所有的智能手机都是如此。

外部音频设备也可以通过蓝牙或USB-C连接。这一点没有问题,但尽管有高通SoC,华为手机上没有aptX编解码器,所以你必须用AAC、SBC和LDAC来做。

dB(A) 0102030405060708090Deep BassMiddle BassHigh BassLower RangeMidsHigher MidsLower HighsMid HighsUpper HighsSuper Highs2035.431.7253829.73125.826.24027.4315030.233.76328.931.58018.823.610016.334.412513.843.116014.649.920012.750.42501753.531510.156.240010.358.550011.960.363012.763.880013.761.7100014.167125015.568.416001268.3200012.770.725001370.9315013.464.5400013.864.950001561.3630015.466800016.270.81000017.770.21250017.6631600018.656.2SPL26.579.5N0.845.6median 13.8median 63Delta1.4640.435.640.537.427.335.231.830.540.636.625.229.121.318.118.922.516.831.520.241.51647.818.253.51456.61358.117.262.517.962.219.563.919.570.622.274.721.177.425.974.919.973.915.172.814.7711565.214.859.813.86514.965.914.758.815.455.331.731.7841.31.352.9median 16.8median 62.52.36.5hearing rangehide median Pink NoiseHuawei Mate 50 ProOnePlus 10T
Frequency diagram (checkboxes can be checked and unchecked to compare devices)
Huawei Mate 50 Pro audio analysis

(±) | speaker loudness is average but good (79.5 dB)
Bass 100 - 315 Hz
(-) | nearly no bass - on average 15.1% lower than median
(±) | linearity of bass is average (11% delta to prev. frequency)
Mids 400 - 2000 Hz
(+) | balanced mids - only 3.9% away from median
(+) | mids are linear (4.8% delta to prev. frequency)
Highs 2 - 16 kHz
(+) | balanced highs - only 4.4% away from median
(+) | highs are linear (6% delta to prev. frequency)
Overall 100 - 16.000 Hz
(+) | overall sound is linear (14.1% difference to median)
Compared to same class
» 1% of all tested devices in this class were better, 1% similar, 98% worse
» The best had a delta of 12%, average was 23%, worst was 65%
Compared to all devices tested
» 16% of all tested devices were better, 4% similar, 80% worse
» The best had a delta of 3%, average was 20%, worst was 65%

OnePlus 10T audio analysis

(+) | speakers can play relatively loud (84 dB)
Bass 100 - 315 Hz
(-) | nearly no bass - on average 20.2% lower than median
(±) | linearity of bass is average (14.1% delta to prev. frequency)
Mids 400 - 2000 Hz
(±) | higher mids - on average 6.7% higher than median
(+) | mids are linear (6.6% delta to prev. frequency)
Highs 2 - 16 kHz
(±) | higher highs - on average 5.9% higher than median
(+) | highs are linear (6.6% delta to prev. frequency)
Overall 100 - 16.000 Hz
(±) | linearity of overall sound is average (21.7% difference to median)
Compared to same class
» 39% of all tested devices in this class were better, 10% similar, 51% worse
» The best had a delta of 12%, average was 23%, worst was 65%
Compared to all devices tested
» 62% of all tested devices were better, 7% similar, 31% worse
» The best had a delta of 3%, average was 20%, worst was 65%

电池寿命 - 快速充电技术

消耗功率

在能源消耗方面,Mate 50 Pro总体上是平均水平,即使负载消耗明显高于前代产品。

这款智能手机的最大充电功率为66瓦,交货范围中包括适当的电源适配器。电池从完全空载到充满的充电时间明显少于2小时。无线充电的功率最高可达50瓦。目前,只有40瓦的无线充电器在华为的德国商店有售,其价格略低于130欧元。

其他设备,如TWS耳机,可以通过反向充电,把它们放在智能手机上,以高达5瓦的功率进行无线充电。

Power Consumption
Off / Standbydarklight 0.1 / 0.2 Watt
Idledarkmidlight 1.2 / 1.5 / 1.7 Watt
Load midlight 6.5 / 8.7 Watt
 color bar
Key: min: dark, med: mid, max: light        Metrahit Energy
Currently we use the Metrahit Energy, a professional single phase power quality and energy measurement digital multimeter, for our measurements. Find out more about it here. All of our test methods can be found here.
Huawei Mate 50 Pro
4700 mAh
Huawei Mate 40 Pro
4400 mAh
Samsung Galaxy S22 Ultra 5G
5000 mAh
Apple iPhone 14 Pro Max
4323 mAh
Xiaomi Mi 11 Ultra
5000 mAh
OnePlus 10T
4800 mAh
Average Qualcomm Snapdragon 8+ Gen 1
 
Average of class Smartphone
 
Power Consumption
3%
20%
21%
0%
31%
24%
13%
Idle Minimum *
1.2
1.01
16%
0.58
52%
0.61
49%
1.13
6%
0.8
33%
0.893 ?(0.56 - 1.2, n=11)
26%
0.887 ?(0.12 - 2.5, n=194, last 2 years)
26%
Idle Average *
1.5
2.12
-41%
0.71
53%
1.7
-13%
1.67
-11%
1.2
20%
1.258 ?(0.71 - 1.84, n=11)
16%
1.568 ?(0.65 - 3.6, n=194, last 2 years)
-5%
Idle Maximum *
1.7
2.15
-26%
1.16
32%
1.73
-2%
1.69
1%
1.3
24%
1.374 ?(0.79 - 1.86, n=11)
19%
1.783 ?(0.69 - 3.7, n=194, last 2 years)
-5%
Load Average *
6.5
3.94
39%
7.07
-9%
3.85
41%
5.17
20%
3.5
46%
3.98 ?(2.75 - 6.5, n=11)
39%
4.36 ?(2.1 - 7.74, n=194, last 2 years)
33%
Load Maximum *
8.7
6.53
25%
11.32
-30%
5.94
32%
9.9
-14%
5.9
32%
6.85 ?(4.54 - 8.7, n=11)
21%
7.17 ?(3.56 - 11.9, n=194, last 2 years)
18%

* ... smaller is better

Power consumption: Geekbench (150 cd/m²)

0123456789101112Tooltip
Huawei Mate 50 Pro; Geekbench 5.4: Ø5.19 (1.507-12.3)
Huawei Mate 50 Pro; Idle 150cd/m2: Ø1.293 (1.254-1.644)

Power consumption: GFXBench (150 cd/m²)

012345678910Tooltip
Huawei Mate 50 Pro; 1920x1080 Aztec Ruins Normal Offscreen: Ø10.2 (9.67-10.6)
Huawei Mate 50 Pro; Idle 150cd/m2: Ø1.293 (1.254-1.644)

电池寿命

电池容量为4700毫安时,比Mate 40 Pro略高。Mate 40 Pro.这也反映在运行时间上,平均约长16%。在我们的Wi-Fi测试中,略低于12小时的时间是很稳固的,但与其他顶级手机相比,它最多只能排在中场。

Mate 50 Pro绝对能让你度过工作日,但是否足够应付第二天的工作取决于使用强度。如果电池水平下降到1%,智能手机可以激活紧急模式,该模式非常节能,你仍然可以在12分钟内打电话或保持3小时的待机状态。

Battery Runtime
Idle (without WLAN, min brightness)
29h 14min
WiFi Websurfing
11h 57min
Big Buck Bunny H.264 1080p
18h 59min
Load (maximum brightness)
4h 56min
Huawei Mate 50 Pro
4700 mAh
Huawei Mate 40 Pro
4400 mAh
Samsung Galaxy S22 Ultra 5G
5000 mAh
Apple iPhone 14 Pro Max
4323 mAh
Xiaomi Mi 11 Ultra
5000 mAh
OnePlus 10T
4800 mAh
Battery Runtime
-16%
16%
55%
-16%
20%
Reader / Idle
1754
1255
-28%
1973
12%
3473
98%
1108
-37%
1795
2%
H.264
1139
999
-12%
1078
-5%
1688
48%
1006
-12%
1646
45%
WiFi v1.3
717
609
-15%
844
18%
948
32%
650
-9%
856
19%
Load
296
270
-9%
410
39%
416
41%
276
-7%
332
12%

Pros

+ 伟大的相机图像
+ 非常明亮和准确的屏幕
+ 功率大
+ 良好的扬声器声音
+ 清晰的语音质量
+ 非常别致和稳定的底盘
+ 安全和准确的人脸识别

Cons

- 专用存储卡格式
- 没有谷歌服务
- 没有5G
- 长时间加载后会出现严重的节流现象
- 网页浏览时性能相对较低
- 没有WiFi 6E
- 没有aptX蓝牙编解码器

结论 - 仅适用于专业人士

在审查中。华为Mate 50 Pro。评测样品由德国华为提供。
在审查中。华为Mate 50 Pro。评测样品由德国华为提供。

华为Mate 50 Pro的缺点是不能使用谷歌的服务或安装5G技术。这些对西方用户来说是艰难的限制。

因此,许多潜在买家可能会从一开始就立即排除这款智能手机,并且永远无法看到潜望镜相机和可变光圈所能带来的清晰变焦照片和柔和虚化效果。另一个负面的观点是在长时间的负载下严重的节流现象。

另一方面,外壳的制造质量无可指责,即使光洁的设备上可见的指纹很快让我们感到不安。在这里,如果也能获得在亚洲销售的仿皮版本,那就更好了。明亮的屏幕、快速的内存、出色的扬声器和良好的语音质量使该智能手机处于良好状态。

然而,很难毫无保留地推荐华为Mate 50 Pro。由于应用兼容性降低,日常使用的局限性太大,而且如果没有5G,这款昂贵的智能手机的未来性就会受到威胁。因此,在西方,这款智能手机太贵了,不能被视为真正的替代品。

华为Mate 50 Pro的相机提供了令人印象深刻的技术,但软件和5G方面许多不幸的限制使日常使用变得困难。

华为的许多技术被前子公司Honor ,当该公司被剥离时采用。该 Honor Magic4 Pro也是一款伟大的相机智能手机,也能毫无问题地使用谷歌应用程序和5G。这款 谷歌Pixel 7 Pro也能拍出好照片,而且价格非常有吸引力。

Download your licensed rating image as SVG / PNG

价格和可用性

到目前为止,华为Mate 50 Pro的供应似乎仅限于全球某些国家。有兴趣的买家可以通过制造商在这里直接查询.选择你的位置,然后在搜索栏中输入HUAWEI Mate 50 Pro 。例如,我们发现这款智能手机在法国、马来西亚和墨西哥有售(这个名单并不详尽)。

其他供应商,如亚马逊,也可能列出该智能手机。例如,印度亚马逊提供256GB的版本价格为1,44,999.00美元,512GB的版本价格为1,72,500.00美元。

价格截至2022年11月21日,可能会有变化。

Huawei Mate 50 Pro - 11/18/2022 v7
Florian Schmitt

Chassis
92%
Keyboard
65 / 75 → 87%
Pointing Device
98%
Connectivity
52 / 70 → 75%
Weight
88%
Battery
90%
Display
92%
Games Performance
59 / 64 → 92%
Application Performance
82 / 86 → 95%
Temperature
86%
Noise
100%
Audio
80 / 90 → 89%
Camera
84%
Average
82%
89%
Smartphone - Weighted Average

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> Notebookcheck中文版(NBC中国) > 评测 > 华为Mate 50 Pro智能手机评论。相机明星有问题
Florian Schmitt, 2022-11-23 (Update: 2022-11-23)