SHARP A201SH
Geekbench AI Score
555
Single Precision Score
555
Half Precision Score
1070
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 06:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
732
136.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1747
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.32 IPS |
|
|
Face Detection (Q)
|
95% |
1731
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1040
8.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1039
8.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1628
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2048
2.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2042
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4036
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (Q)
|
88% |
592
797.8 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.5 IPS |
