SHARP A202SH
Geekbench AI Score
387
Single Precision Score
365
Half Precision Score
903
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 03:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | SHARP A202SH |
| Model ID | SHARP A202SH |
| Motherboard | Mineva |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
724
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
838
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
860
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
1928
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (HP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (Q)
|
95% |
1503
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
731
5.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
733
5.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1652
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1514
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1225
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3393
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.4 IPS |
|
|
Text Classification (Q)
|
88% |
384
517.4 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.62 IPS |
