HUAWEI AGS5-L09
Geekbench AI Score
28
Single Precision Score
79
Half Precision Score
79
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SUPERCOMPUTERS |
| Upload Date | September 07 2024 01:52 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
29
5.39 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.4 IPS |
|
|
Image Classification (Q)
|
97% |
60
11.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
29
0.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
102
1.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
82
0.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
82
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
22
1.71 IPS |
|
|
Object Detection (HP)
|
100% |
36
2.85 IPS |
|
|
Object Detection (Q)
|
89% |
30
2.41 IPS |
|
|
Face Detection (SP)
|
100% |
60
0.72 IPS |
|
|
Face Detection (HP)
|
100% |
136
1.62 IPS |
|
|
Face Detection (Q)
|
97% |
136
1.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
57
0.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
102
0.78 IPS |
|
|
Depth Estimation (Q)
|
62% |
82
0.78 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
216
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
207
0.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26
0.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46
1.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
45
1.66 IPS |
|
|
Text Classification (SP)
|
100% |
54
71.9 IPS |
|
|
Text Classification (HP)
|
100% |
53
71.3 IPS |
|
|
Text Classification (Q)
|
91% |
83
112.2 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.84 IPS |
