Huawei Mate 40 Pro
Geekbench AI Score
267
Single Precision Score
270
Half Precision Score
660
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 21 2024 10:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | HiSilicon Kirin 9000 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Huawei Mate 40 Pro |
| Model ID | HUAWEI NOH-NX9 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
97% |
431
80.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1112
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
89% |
476
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
411
4.88 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
97% |
944
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
334
2.57 IPS |
|
|
Depth Estimation (HP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
73% |
951
7.78 IPS |
|
|
Style Transfer (SP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
548
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1728
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
659
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
235
314.2 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.2 IPS |
|
|
Text Classification (Q)
|
91% |
426
573.1 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.71 IPS |
