Sony Xperia 10 III
Geekbench AI Score
432
Single Precision Score
425
Half Precision Score
751
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | EriksLV |
| Upload Date | June 01 2025 02:41 PM |
| Views | 8 |
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% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (Q)
|
100% |
643
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
899
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1205
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
491
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (Q)
|
95% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
779
6.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1137
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1471
1.91 IPS |
|
|
Style Transfer (HP)
|
89% |
1473
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2892
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
693
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.6 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (Q)
|
88% |
383
517.0 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
50% |
272
9.64 IPS |
