Sony Xperia 5 II
Geekbench AI Score
415
Single Precision Score
509
Half Precision Score
1333
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:24 PM |
| Views | 1 |
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% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (Q)
|
97% |
1345
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5368
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
11274
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1588
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
3483
41.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
22% |
254
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3998
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5269
195.2 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.6 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (Q)
|
93% |
156
210.1 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
54% |
211
5.95 IPS |
