SHARP SH-51B
Geekbench AI Score
307
Single Precision Score
306
Half Precision Score
539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | SHARP SH-51B |
| Model ID | SHARP SH-51B |
| 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% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (Q)
|
100% |
483
89.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
928
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
340
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (Q)
|
95% |
768
9.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
460
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
836
7.66 IPS |
|
|
Style Transfer (SP)
|
89% |
957
1.24 IPS |
|
|
Style Transfer (HP)
|
89% |
965
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
1903
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.7 IPS |
|
|
Text Classification (Q)
|
88% |
283
382.1 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.35 IPS |
