Sony SO-52D
Geekbench AI Score
188
Single Precision Score
280
Half Precision Score
287
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | September 18 2024 09:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony SO-52D |
| Model ID | Sony SO-52D |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
97% |
186
34.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
180
2.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
296
0.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
294
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.50 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
89% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
465
5.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.40 IPS |
|
|
Depth Estimation (Q)
|
62% |
363
3.44 IPS |
|
|
Style Transfer (SP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1089
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.87 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.4 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
57% |
215
5.26 IPS |
