Sony Xperia 5 II
Geekbench AI Score
414
Single Precision Score
510
Half Precision Score
1336
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 06:20 PM |
| Views | 5 |
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% |
440
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (Q)
|
97% |
1358
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1245
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5366
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
11180
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
85% |
1637
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
3543
42.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
22% |
252
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3954
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5198
192.6 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.7 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.6 IPS |
|
|
Text Classification (Q)
|
93% |
152
204.0 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
54% |
211
5.94 IPS |
