Huawei Mate 40 Pro
Geekbench AI Score
963
Single Precision Score
984
Half Precision Score
1651
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 04:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | HiSilicon Kirin 9000 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Huawei Mate 40 Pro |
| Model ID | HUAWEI NOH-AN00 |
| Motherboard | NOH |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 4 Cores @ 2.04 GHz |
| Cluster 2 | 3 Cores @ 2.54 GHz |
| Cluster 3 | 1 Core @ 3.13 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
100% |
1390
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1621
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3108
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
83% |
850
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2099
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3032
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3847
4.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3824
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
7216
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1893
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.8 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.2 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
