SHARP A102SH
Geekbench AI Score
313
Single Precision Score
483
Half Precision Score
439
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 28 2025 09:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.1 IPS |
|
|
Image Classification (Q)
|
99% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
477
7.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
2241
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
99% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
85% |
251
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
841
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
98% |
1351
10.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1122
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3375
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3248
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
501
18.6 IPS |
|
|
Text Classification (SP)
|
35% |
12
118.0 IPS |
|
|
Text Classification (HP)
|
35% |
20
183.0 IPS |
|
|
Text Classification (Q)
|
35% |
20
180.8 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (HP)
|
97% |
131
2.27 IPS |
|
|
Machine Translation (Q)
|
64% |
100
2.06 IPS |
