Sony Xperia 10 II
Geekbench AI Score
319
Single Precision Score
315
Half Precision Score
358
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 665 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 10 II |
| Model ID | Sony SO-41A |
| Motherboard | trinket |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
100% |
232
43.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
312
5.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
658
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
233
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
95% |
571
6.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
489
3.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
571
5.23 IPS |
|
|
Style Transfer (SP)
|
89% |
1417
1.84 IPS |
|
|
Style Transfer (HP)
|
89% |
1413
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1608
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
329
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.1 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.8 IPS |
|
|
Text Classification (Q)
|
88% |
174
234.9 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (Q)
|
50% |
105
3.72 IPS |
