Sony SO-52E
Geekbench AI Score
301
Single Precision Score
307
Half Precision Score
634
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 07:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony SO-52E |
| Model ID | Sony SO-52E |
| Motherboard | parrot |
| 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 | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
100% |
453
84.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
483
7.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
1096
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
488
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
347
4.13 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
95% |
870
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1338
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1152
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1157
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2974
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.4 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.1 IPS |
|
|
Text Classification (Q)
|
88% |
253
341.5 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.92 IPS |
