Sony Xperia 10 II
Geekbench AI Score
278
Single Precision Score
280
Half Precision Score
321
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | October 20 2024 08:32 AM |
| Views | 2 |
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% |
116
21.5 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
214
39.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
606
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
83% |
216
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
95% |
515
6.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
480
4.40 IPS |
|
|
Style Transfer (SP)
|
89% |
1265
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1308
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1507
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
310
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
160
214.1 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.8 IPS |
|
|
Text Classification (Q)
|
88% |
153
206.5 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.51 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.98 IPS |
