HUAWEI GLA-LX3
Geekbench ML Score
596
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 20 2024 10:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI GLA-LX3 |
| Model ID | HUAWEI GLA-LX3 |
| Motherboard | GLA |
| CPU Information | |
|---|---|
| Name | ARM SM7325 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
302
56.6 IPS |
|
|
Image Classification (F16)
|
100% |
297
55.6 IPS |
|
|
Image Classification (I8)
|
97% |
735
137.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
5.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
344
5.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
513
8.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
537
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
536
0.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2985
3.62 IPS |
|
|
Object Detection (F32)
|
100% |
315
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
322
24.0 IPS |
|
|
Object Detection (I8)
|
61% |
865
64.6 IPS |
|
|
Face Detection (F32)
|
100% |
533
6.33 IPS |
|
|
Face Detection (F16)
|
100% |
545
6.48 IPS |
|
|
Face Detection (I8)
|
86% |
1597
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
550
4.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
541
4.19 IPS |
|
|
Depth Estimation (I8)
|
95% |
1586
12.3 IPS |
|
|
Style Transfer (F32)
|
100% |
901
1.18 IPS |
|
|
Style Transfer (F16)
|
100% |
854
1.12 IPS |
|
|
Style Transfer (I8)
|
98% |
2595
3.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
371
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
387
13.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1349
48.2 IPS |
|
|
Text Classification (F32)
|
100% |
428
614.6 IPS |
|
|
Text Classification (F16)
|
100% |
431
619.4 IPS |
|
|
Text Classification (I8)
|
92% |
428
614.7 IPS |
|
|
Machine Translation (F32)
|
100% |
564
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
593
10.9 IPS |
|
|
Machine Translation (I8)
|
64% |
269
4.96 IPS |
