SHARP A501SH
Geekbench AI Score
430
Single Precision Score
426
Half Precision Score
25723
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
97% |
21331
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
18256
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
139647
163.4 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
86% |
10855
872.8 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (Q)
|
97% |
60085
716.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
547
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
548
4.23 IPS |
|
|
Depth Estimation (Q)
|
63% |
56519
529.2 IPS |
|
|
Style Transfer (SP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
203634
262.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38656
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
387
516.5 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.9 IPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1506
39.4 IPS |
