Sony Xperia 10 II
Geekbench AI Score
31
Single Precision Score
96
Half Precision Score
93
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | October 20 2024 10:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
28
5.22 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (Q)
|
97% |
58
10.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
101
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.24 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.81 IPS |
|
|
Object Detection (Q)
|
89% |
48
3.83 IPS |
|
|
Face Detection (SP)
|
100% |
71
0.84 IPS |
|
|
Face Detection (HP)
|
100% |
174
2.06 IPS |
|
|
Face Detection (Q)
|
97% |
181
2.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
139
1.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
114
1.08 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
266
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
265
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33
1.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
70
2.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70
2.58 IPS |
|
|
Text Classification (SP)
|
100% |
60
79.6 IPS |
|
|
Text Classification (HP)
|
100% |
60
79.8 IPS |
|
|
Text Classification (Q)
|
91% |
76
102.0 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
