Sony Xperia 1 II
Geekbench AI Score
1140
Single Precision Score
1146
Half Precision Score
1949
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 01:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 1 II |
| Model ID | Sony SO-51A |
| 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% |
519
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
100% |
1504
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
3827
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
1453
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
3472
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2087
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2076
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3484
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4270
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4254
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8933
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2095
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
569
758.9 IPS |
|
|
Text Classification (HP)
|
100% |
564
752.7 IPS |
|
|
Text Classification (Q)
|
88% |
480
646.8 IPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
