HUAWEI AGS5-L09
Geekbench AI Score
249
Single Precision Score
260
Half Precision Score
348
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | SUPERCOMPUTERS |
| Upload Date | August 16 2024 05:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI AGS5-L09 |
| Model ID | HUAWEI AGS5-L09 |
| Motherboard | AGS5 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
328
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
500
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.00 IPS |
|
|
Object Detection (Q)
|
87% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
95% |
602
7.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (Q)
|
75% |
546
4.42 IPS |
|
|
Style Transfer (SP)
|
89% |
1084
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1030
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1333
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
291
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
153
204.2 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.5 IPS |
|
|
Text Classification (Q)
|
88% |
231
311.2 IPS |
|
|
Machine Translation (SP)
|
100% |
202
3.49 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (Q)
|
50% |
113
4.02 IPS |
