Sony Xperia 10 III
Geekbench AI Score
144
Single Precision Score
252
Half Precision Score
748
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | November 27 2024 04:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
97% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
669
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3834
4.49 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
85% |
545
43.9 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
1499
17.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
294
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
227
1.75 IPS |
|
|
Depth Estimation (Q)
|
63% |
2483
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2340
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1702
63.1 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.70 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (Q)
|
93% |
44
58.5 IPS |
|
|
Machine Translation (SP)
|
100% |
69
1.19 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
54% |
125
3.52 IPS |
