Sony Xperia 10 II
Geekbench AI Score
69
Single Precision Score
101
Half Precision Score
491
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | October 20 2024 11:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
68
12.6 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
97% |
373
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
2817
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.69 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.34 IPS |
|
|
Object Detection (Q)
|
85% |
357
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
176
2.10 IPS |
|
|
Face Detection (HP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (Q)
|
97% |
1082
12.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
130
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
98
0.76 IPS |
|
|
Depth Estimation (Q)
|
63% |
1818
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
240
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
184
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
1047
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
97
3.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1238
45.9 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.72 IPS |
|
|
Text Classification (HP)
|
100% |
60
80.1 IPS |
|
|
Text Classification (Q)
|
93% |
38
51.3 IPS |
|
|
Machine Translation (SP)
|
100% |
55
0.94 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.85 IPS |
|
|
Machine Translation (Q)
|
54% |
51
1.44 IPS |
