Sony Xperia 10 III
Geekbench AI Score
134
Single Precision Score
230
Half Precision Score
540
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
97% |
524
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
675
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
924
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3862
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.60 IPS |
|
|
Object Detection (Q)
|
85% |
624
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
97% |
1645
19.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
247
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
22% |
102
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
314
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2031
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.58 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.7 IPS |
|
|
Text Classification (Q)
|
93% |
38
51.2 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.25 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
54% |
107
3.01 IPS |
