SHARP LP-01
Geekbench AI Score
289
Single Precision Score
293
Half Precision Score
555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Sabuai |
| Upload Date | September 15 2025 07:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | SHARP LP-01 |
| Model ID | SHARP LP-01 |
| Motherboard | Judau |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (Q)
|
100% |
403
74.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
571
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
943
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
83% |
408
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
95% |
788
9.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
842
7.71 IPS |
|
|
Style Transfer (SP)
|
89% |
977
1.27 IPS |
|
|
Style Transfer (HP)
|
89% |
964
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
1901
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
507
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (Q)
|
88% |
290
391.1 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
50% |
225
7.97 IPS |
