SHARP SH-M26
Geekbench AI Score
196
Single Precision Score
197
Half Precision Score
6233
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (Q)
|
97% |
7028
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
6180
100.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
21066
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.09 IPS |
|
|
Object Detection (Q)
|
86% |
3468
278.8 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
20894
249.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
63% |
16386
153.4 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
44252
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11023
408.5 IPS |
|
|
Text Classification (SP)
|
100% |
174
231.6 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.9 IPS |
|
|
Text Classification (Q)
|
93% |
2652
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
30% |
63
12.6 IPS |
