SHARP A501SH
Geekbench AI Score
1064
Single Precision Score
1139
Half Precision Score
1694
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 05:59 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP A501SH |
| Model ID | SHARP A501SH |
| Motherboard | Lockon |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1523
283.2 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
100% |
1884
350.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1870
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3832
4.54 IPS |
|
|
Object Detection (SP)
|
98% |
687
54.7 IPS |
|
|
Object Detection (HP)
|
98% |
1469
116.9 IPS |
|
|
Object Detection (Q)
|
83% |
1165
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (Q)
|
95% |
2600
31.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2270
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3623
4.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3507
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6149
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1583
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.7 IPS |
|
|
Text Classification (HP)
|
99% |
380
507.5 IPS |
|
|
Text Classification (Q)
|
88% |
641
864.3 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.3 IPS |
