Sony Xperia 10 II
Geekbench AI Score
263
Single Precision Score
261
Half Precision Score
308
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | September 18 2024 08:14 AM |
| Views | 4 |
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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
190
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
579
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (Q)
|
83% |
209
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
95% |
541
6.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
502
4.60 IPS |
|
|
Style Transfer (SP)
|
89% |
1239
1.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1219
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1481
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.9 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.5 IPS |
|
|
Text Classification (Q)
|
88% |
168
226.5 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
50% |
68
2.42 IPS |
