SHARP A401SH
Geekbench AI Score
413
Single Precision Score
411
Half Precision Score
923
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP A401SH |
| Model ID | SHARP A401SH |
| Motherboard | Orga |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
642
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
685
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
1705
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
87% |
665
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (Q)
|
97% |
1414
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1198
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
865
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2107
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.7 IPS |
|
|
Text Classification (HP)
|
100% |
373
497.6 IPS |
|
|
Text Classification (Q)
|
91% |
642
862.9 IPS |
|
|
Machine Translation (SP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
57% |
417
10.2 IPS |
