SHARP A003SH
Geekbench AI Score
495
Single Precision Score
478
Half Precision Score
894
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | SHARP A003SH |
| Model ID | SHARP A003SH |
| Motherboard | Jerid |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 2.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
100% |
680
126.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1132
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1494
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
600
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
95% |
1370
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1374
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1730
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1726
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3451
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
838
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
249
331.9 IPS |
|
|
Text Classification (HP)
|
100% |
246
327.9 IPS |
|
|
Text Classification (Q)
|
88% |
441
594.7 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
