Sony Xperia 5 II
Geekbench AI Score
486
Single Precision Score
484
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3714
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
478
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
95% |
927
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
527
4.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1000
9.16 IPS |
|
|
Style Transfer (SP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2280
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.7 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (Q)
|
88% |
368
496.8 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
50% |
287
10.2 IPS |
