SHARP SH-M26
Geekbench AI Score
535
Single Precision Score
475
Half Precision Score
764
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-M26 |
| Model ID | SHARP SH-M26 |
| Motherboard | Quess |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (Q)
|
100% |
721
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
857
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1315
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
1911
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
828
9.84 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
95% |
1764
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1142
8.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1119
8.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
735
6.73 IPS |
|
|
Style Transfer (SP)
|
89% |
2138
2.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2130
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4212
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.0 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.4 IPS |
|
|
Text Classification (Q)
|
88% |
225
303.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
123
4.38 IPS |
