Sony SO-52D
Geekbench AI Score
543
Single Precision Score
543
Half Precision Score
1056
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | September 18 2024 07:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
713
132.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1744
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
705
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
95% |
1717
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1015
7.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1624
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2019
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2021
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4025
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.2 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (Q)
|
88% |
576
777.5 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
