SHARP A102SH
Geekbench AI Score
153
Single Precision Score
288
Half Precision Score
354
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 28 2025 09:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | SHARP A102SH |
| Model ID | SHARP A102SH |
| Motherboard | Recoa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
97% |
583
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
4312
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.12 IPS |
|
|
Object Detection (Q)
|
85% |
624
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
1667
19.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
298
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.88 IPS |
|
|
Depth Estimation (Q)
|
22% |
114
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1987
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.99 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (Q)
|
93% |
35
47.2 IPS |
|
|
Machine Translation (SP)
|
100% |
56
0.96 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
0
|
