HUAWEI ELS-AN10
Geekbench ML Score
394
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 03:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ELS-AN10 |
| Model ID | HUAWEI ELS-AN10 |
| Motherboard | ELS |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.86 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
339
63.4 IPS |
|
|
Image Classification (F16)
|
100% |
516
96.6 IPS |
|
|
Image Classification (I8)
|
97% |
484
90.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
443
7.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
9.58 IPS |
|
|
Image Segmentation (I8)
|
98% |
551
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
140
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
193
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
221
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
304
22.7 IPS |
|
|
Object Detection (I8)
|
62% |
311
23.2 IPS |
|
|
Face Detection (F32)
|
100% |
884
10.5 IPS |
|
|
Face Detection (F16)
|
98% |
1352
16.1 IPS |
|
|
Face Detection (I8)
|
86% |
1238
14.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
357
2.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
517
4.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
423
3.28 IPS |
|
|
Style Transfer (F32)
|
100% |
611
0.80 IPS |
|
|
Style Transfer (F16)
|
100% |
980
1.29 IPS |
|
|
Style Transfer (I8)
|
98% |
974
1.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
200
7.14 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
294
10.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
293
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
187
268.3 IPS |
|
|
Text Classification (F16)
|
100% |
187
268.4 IPS |
|
|
Text Classification (I8)
|
92% |
321
461.0 IPS |
|
|
Machine Translation (F32)
|
100% |
346
6.36 IPS |
|
|
Machine Translation (F16)
|
100% |
346
6.37 IPS |
|
|
Machine Translation (I8)
|
64% |
383
7.05 IPS |
