Sony Xperia 5 II
Geekbench AI Score
414
Single Precision Score
509
Half Precision Score
1724
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:48 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 5 II |
| Model ID | Sony XQ-AS72 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.8 IPS |
|
|
Image Classification (Q)
|
97% |
1338
249.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1415
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
11293
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
89% |
1633
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
3636
43.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
100% |
313
2.41 IPS |
|
|
Depth Estimation (Q)
|
46% |
2837
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3956
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5223
193.5 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.6 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (Q)
|
93% |
159
212.9 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
54% |
212
5.96 IPS |
