Sony Xperia 1 II
Geekbench AI Score
741
Single Precision Score
1203
Half Precision Score
1123
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 07 2026 07:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 1 II |
| Model ID | Sony XQ-AT51 |
| 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% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (Q)
|
99% |
794
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
6522
7.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
6263
7.33 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
99% |
591
46.8 IPS |
|
|
Object Detection (Q)
|
85% |
747
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1686
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2589
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2118
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4208
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8948
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8591
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1501
55.6 IPS |
|
|
Text Classification (SP)
|
35% |
27
262.1 IPS |
|
|
Text Classification (HP)
|
35% |
42
386.3 IPS |
|
|
Text Classification (Q)
|
35% |
42
383.2 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
97% |
314
5.42 IPS |
|
|
Machine Translation (Q)
|
64% |
228
4.69 IPS |
