Huawei Mate 40
Geekbench AI Score
1130
Single Precision Score
1093
Half Precision Score
2203
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 22 2025 05:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
556
103.5 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
100% |
1587
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3891
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
83% |
1522
122.9 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
3613
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1992
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3661
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3755
4.87 IPS |
|
|
Style Transfer (HP)
|
89% |
3714
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8835
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2232
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.2 IPS |
|
|
Text Classification (HP)
|
100% |
613
817.6 IPS |
|
|
Text Classification (Q)
|
88% |
1057
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
