Sony Xperia 10 III
Geekbench AI Score
140
Single Precision Score
140
Half Precision Score
505
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
82
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.5 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
4186
4.90 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.57 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.61 IPS |
|
|
Object Detection (Q)
|
84% |
627
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
97% |
1184
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
181
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
2436
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
315
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
314
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
7012
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
299
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.5 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.6 IPS |
|
|
Text Classification (Q)
|
93% |
171
230.2 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.22 IPS |
