Huawei Mate 40
Geekbench AI Score
966
Single Precision Score
1339
Half Precision Score
1103
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 22 2025 05:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | HiSilicon Kirin 9000E 5G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Huawei Mate 40 |
| Model ID | HUAWEI OCE-AN10 |
| Motherboard | OCE |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
97% |
535
99.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1243
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5333
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9206
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
831
65.9 IPS |
|
|
Object Detection (Q)
|
83% |
738
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
1780
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (Q)
|
96% |
2345
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5572
43.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4318
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10350
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19428
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19506
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2301
85.3 IPS |
|
|
Text Classification (SP)
|
35% |
20
178.4 IPS |
|
|
Text Classification (HP)
|
29% |
14
234.7 IPS |
|
|
Text Classification (Q)
|
32% |
17
214.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.50 IPS |
