Sony Xperia 10 III
Geekbench AI Score
135
Single Precision Score
213
Half Precision Score
217
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
78
14.5 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
97% |
135
25.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
244
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.36 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.26 IPS |
|
|
Object Detection (Q)
|
89% |
107
8.60 IPS |
|
|
Face Detection (SP)
|
100% |
184
2.19 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (Q)
|
97% |
342
4.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
189
1.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
344
2.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
282
2.67 IPS |
|
|
Style Transfer (SP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
833
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
167
6.19 IPS |
|
|
Text Classification (SP)
|
100% |
118
158.1 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.3 IPS |
|
|
Text Classification (Q)
|
91% |
203
273.3 IPS |
|
|
Machine Translation (SP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.47 IPS |
|
|
Machine Translation (Q)
|
57% |
149
3.64 IPS |
