SHARP SH-52D
Geekbench AI Score
281
Single Precision Score
281
Half Precision Score
627
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 05:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-52D |
| Model ID | SHARP SH-52D |
| Motherboard | FaYuiry |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
99% |
401
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1098
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
433
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.45 IPS |
|
|
Face Detection (Q)
|
97% |
953
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
382
2.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
871
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1871
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.5 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.6 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.41 IPS |
