SHARP SH-M26
Geekbench AI Score
546
Single Precision Score
431
Half Precision Score
880
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 09:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
100% |
902
167.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
1959
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
83% |
783
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
1999
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1205
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1661
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2195
2.85 IPS |
|
|
Style Transfer (HP)
|
89% |
2195
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4221
5.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
545
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (HP)
|
100% |
132
175.8 IPS |
|
|
Text Classification (Q)
|
88% |
222
299.5 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
123
4.38 IPS |
