HUAWEI PLA-AL10
Geekbench AI Score
283
Single Precision Score
255
Half Precision Score
536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 05 2025 10:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | vendor |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI PLA-AL10 |
| Model ID | HUAWEI PLA-AL10 |
| Motherboard | PLA |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 15.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
99% |
459
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.46 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
87% |
496
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.17 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
97% |
998
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
923
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
765
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
435
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1219
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.4 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (Q)
|
91% |
272
365.3 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.91 IPS |
