HUAWEI ELS-AN10
Geekbench ML Score
586
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 02:55 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
52.4 IPS |
|
|
Image Classification (F16)
|
100% |
275
51.5 IPS |
|
|
Image Classification (I8)
|
97% |
548
102.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
6.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
6.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
485
8.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
617
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
580
0.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
2715
3.29 IPS |
|
|
Object Detection (F32)
|
100% |
315
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
61% |
730
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
649
7.72 IPS |
|
|
Face Detection (F16)
|
100% |
642
7.63 IPS |
|
|
Face Detection (I8)
|
86% |
1160
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
608
4.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
623
4.83 IPS |
|
|
Depth Estimation (I8)
|
95% |
1277
9.90 IPS |
|
|
Style Transfer (F32)
|
100% |
972
1.28 IPS |
|
|
Style Transfer (F16)
|
100% |
963
1.27 IPS |
|
|
Style Transfer (I8)
|
98% |
2828
3.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
372
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
378
13.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1268
45.3 IPS |
|
|
Text Classification (F32)
|
100% |
348
499.9 IPS |
|
|
Text Classification (F16)
|
100% |
346
497.7 IPS |
|
|
Text Classification (I8)
|
92% |
259
372.5 IPS |
|
|
Machine Translation (F32)
|
100% |
667
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (I8)
|
64% |
317
5.84 IPS |
