SHARP A401SH
Geekbench AI Score
417
Single Precision Score
414
Half Precision Score
24618
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 03:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
272
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
97% |
20349
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
17062
277.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
122324
143.2 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
86% |
10225
822.2 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
97% |
57079
680.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
63% |
55430
519.0 IPS |
|
|
Style Transfer (SP)
|
100% |
867
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
860
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
202255
260.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36506
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
376
501.6 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.7 IPS |
|
|
Text Classification (Q)
|
93% |
5331
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
55% |
1512
39.6 IPS |
