SHARP A003SH
Geekbench AI Score
288
Single Precision Score
463
Half Precision Score
419
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | SHARP A003SH |
| Model ID | SHARP A003SH |
| Motherboard | Jerid |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 2.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
99% |
300
55.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1263
1.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
2105
2.46 IPS |
|
|
Pose Estimation (Q)
|
97% |
2065
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
99% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
85% |
238
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
604
7.17 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
838
10.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
1168
9.03 IPS |
|
|
Depth Estimation (Q)
|
63% |
946
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1653
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3154
4.05 IPS |
|
|
Style Transfer (Q)
|
98% |
3067
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
35% |
12
114.0 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.9 IPS |
|
|
Text Classification (Q)
|
35% |
19
169.2 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (HP)
|
97% |
154
2.67 IPS |
|
|
Machine Translation (Q)
|
64% |
118
2.42 IPS |
