HUAWEI ELS-N39
Geekbench ML Score
238
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 27 2025 09:26 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI ELS-N39 |
| Model ID | HUAWEI ELS-N39 |
| Motherboard | ELS |
| CPU Information | |
|---|---|
| Name | Hisilicon |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
208
22.3 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
2.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
412
2.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
306
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
300
10.5 IPS |
|
|
Object Detection (I8)
|
52% |
209
7.34 IPS |
|
|
Face Detection (F32)
|
100% |
355
4.08 IPS |
|
|
Face Detection (F16)
|
100% |
367
4.21 IPS |
|
|
Face Detection (I8)
|
75% |
271
3.12 IPS |
|
|
Text Classification (F32)
|
100% |
221
87.5 IPS |
|
|
Text Classification (F16)
|
100% |
255
100.7 IPS |
|
|
Machine Translation (F32)
|
100% |
384
59.2 IPS |
|
|
Machine Translation (F16)
|
100% |
382
58.8 IPS |
