Sony Xperia 10 III
Geekbench AI Score
475
Single Precision Score
447
Half Precision Score
803
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 690 5G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 10 III |
| Model ID | Sony A102SO |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1570
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
563
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (Q)
|
95% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
786
6.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1141
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1543
2.00 IPS |
|
|
Style Transfer (HP)
|
89% |
1483
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2886
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.5 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.1 IPS |
|
|
Text Classification (Q)
|
88% |
376
506.5 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.68 IPS |
