SHARP A102SH
Geekbench AI Score
190
Single Precision Score
190
Half Precision Score
427
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 28 2025 10:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
113
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.1 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
764
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.02 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.07 IPS |
|
|
Object Detection (Q)
|
87% |
299
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
242
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
551
5.00 IPS |
|
|
Style Transfer (SP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1182
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.5 IPS |
|
|
Text Classification (Q)
|
91% |
295
396.1 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.16 IPS |
