Sony Xperia 10 III
Geekbench AI Score
493
Single Precision Score
497
Half Precision Score
915
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | jermu695 |
| Upload Date | September 21 2025 08:48 AM |
| Views | 4 |
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% |
226
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
722
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1558
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.39 IPS |
|
|
Face Detection (Q)
|
95% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
885
6.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
858
6.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1476
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1729
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1801
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3730
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
834
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.5 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.6 IPS |
|
|
Text Classification (Q)
|
88% |
503
677.8 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
