Sony Xperia 10 III
Geekbench AI Score
506
Single Precision Score
506
Half Precision Score
939
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jermu695 |
| Upload Date | August 26 2025 01:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 690 5G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony Xperia 10 III |
| Model ID | Sony XQ-BT52 |
| 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
645
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1581
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
645
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (Q)
|
95% |
1497
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
929
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
940
7.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1471
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1834
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1834
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3729
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.1 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.3 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
