SHARP A501SH
Geekbench AI Score
428
Single Precision Score
424
Half Precision Score
949
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 02:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
99% |
651
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1760
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
87% |
674
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.35 IPS |
|
|
Face Detection (HP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (Q)
|
97% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
1231
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
914
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2203
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.1 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.0 IPS |
|
|
Text Classification (Q)
|
91% |
645
866.5 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
431
10.5 IPS |
