Sony Xperia 5 II
Geekbench AI Score
740
Single Precision Score
1193
Half Precision Score
1092
Quantized Score
Geekbench AI 1.4.0 Corporate for Android AArch64
Result Information
| Upload Date | June 25 2025 12:52 AM |
| Views | 3 |
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% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (Q)
|
99% |
765
142.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1433
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
6345
7.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
6163
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
99% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
85% |
570
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2437
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2561
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2123
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4218
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8552
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8532
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
35% |
27
260.5 IPS |
|
|
Text Classification (HP)
|
35% |
42
385.5 IPS |
|
|
Text Classification (Q)
|
35% |
42
379.9 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
97% |
304
5.25 IPS |
|
|
Machine Translation (Q)
|
64% |
224
4.60 IPS |
