Sony SO-51D
Geekbench AI Score
1675
Single Precision Score
1657
Half Precision Score
2520
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:59 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% |
1637
304.5 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.7 IPS |
|
|
Image Classification (Q)
|
100% |
2265
421.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2615
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5520
6.55 IPS |
|
|
Object Detection (SP)
|
98% |
1176
93.6 IPS |
|
|
Object Detection (HP)
|
98% |
1170
93.1 IPS |
|
|
Object Detection (Q)
|
83% |
1675
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (Q)
|
95% |
3842
45.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3915
35.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5933
7.70 IPS |
|
|
Style Transfer (HP)
|
89% |
5921
7.69 IPS |
|
|
Style Transfer (Q)
|
98% |
11131
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2770
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.0 IPS |
|
|
Text Classification (HP)
|
99% |
506
675.3 IPS |
|
|
Text Classification (Q)
|
88% |
806
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
505
17.9 IPS |
