Sony SO-51D
Geekbench AI Score
909
Single Precision Score
852
Half Precision Score
1447
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 01:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony SO-51D |
| Model ID | Sony SO-51D |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
100% |
1171
217.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1948
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2956
3.51 IPS |
|
|
Object Detection (SP)
|
98% |
429
34.2 IPS |
|
|
Object Detection (HP)
|
98% |
676
53.8 IPS |
|
|
Object Detection (Q)
|
83% |
780
63.0 IPS |
|
|
Face Detection (SP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2817
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3496
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3374
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
7536
9.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1500
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
301
402.1 IPS |
|
|
Text Classification (HP)
|
99% |
308
411.7 IPS |
|
|
Text Classification (Q)
|
88% |
579
780.4 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
