Sony Xperia 1 II
Geekbench AI Score
1145
Single Precision Score
1153
Half Precision Score
2092
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 07 2026 07:29 PM |
| Views | 10 |
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 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% |
526
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1695
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2435
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3831
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
1438
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3474
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2027
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2069
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3489
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4256
5.53 IPS |
|
|
Style Transfer (HP)
|
89% |
4266
5.54 IPS |
|
|
Style Transfer (Q)
|
98% |
8965
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2083
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.3 IPS |
|
|
Text Classification (HP)
|
100% |
582
776.9 IPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
