Sony Xperia 10 III
Geekbench AI Score
505
Single Precision Score
502
Half Precision Score
935
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | November 27 2024 03:29 PM |
| Views | 5 |
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
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1583
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
591
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
95% |
1410
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
935
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1477
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1825
2.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1820
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
3732
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
908
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (HP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (Q)
|
88% |
512
691.1 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
