SHARP A201SH
Geekbench AI Score
186
Single Precision Score
279
Half Precision Score
287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 07:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | SHARP A201SH |
| Model ID | SHARP A201SH |
| Motherboard | Levil |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
97% |
185
34.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
264
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.21 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
89% |
146
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (HP)
|
100% |
445
5.28 IPS |
|
|
Face Detection (Q)
|
97% |
454
5.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
432
3.34 IPS |
|
|
Depth Estimation (Q)
|
62% |
353
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1055
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
210
7.79 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (Q)
|
91% |
312
420.0 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
219
5.35 IPS |
