SHARP A102SH
Geekbench AI Score
541
Single Precision Score
544
Half Precision Score
1037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 28 2025 09:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.5 IPS |
|
|
Image Classification (Q)
|
100% |
701
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1731
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
83% |
704
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
95% |
1640
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
843
6.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1606
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1979
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1986
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4040
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.0 IPS |
|
|
Text Classification (HP)
|
100% |
285
379.8 IPS |
|
|
Text Classification (Q)
|
88% |
570
768.4 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
