Sony Xperia 5 II
Geekbench AI Score
723
Single Precision Score
1218
Half Precision Score
1085
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
899
167.1 IPS |
|
|
Image Classification (Q)
|
99% |
779
145.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1436
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
6317
7.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
6175
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
99% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
85% |
578
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2454
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1702
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2550
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2130
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4226
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
8618
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8532
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1445
53.6 IPS |
|
|
Text Classification (SP)
|
35% |
26
257.0 IPS |
|
|
Text Classification (HP)
|
35% |
42
385.2 IPS |
|
|
Text Classification (Q)
|
35% |
41
377.3 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (HP)
|
97% |
369
6.38 IPS |
|
|
Machine Translation (Q)
|
64% |
216
4.44 IPS |
