Sony Xperia 10 II
Geekbench AI Score
317
Single Precision Score
313
Half Precision Score
351
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:53 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% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.1 IPS |
|
|
Image Classification (Q)
|
100% |
230
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
647
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
231
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (Q)
|
95% |
563
6.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
555
5.08 IPS |
|
|
Style Transfer (SP)
|
89% |
1408
1.83 IPS |
|
|
Style Transfer (HP)
|
89% |
1412
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1570
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
323
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
158
211.1 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.8 IPS |
|
|
Text Classification (Q)
|
88% |
175
235.7 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.43 IPS |
