Sony Xperia 10 III
Geekbench AI Score
494
Single Precision Score
461
Half Precision Score
874
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | jermu695 |
| Upload Date | September 21 2025 08:48 AM |
| Views | 2 |
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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1574
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
611
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.62 IPS |
|
|
Face Detection (Q)
|
95% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1126
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1716
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1553
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3727
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
822
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.7 IPS |
|
|
Text Classification (HP)
|
100% |
261
347.8 IPS |
|
|
Text Classification (Q)
|
88% |
513
691.5 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (Q)
|
50% |
274
9.73 IPS |
