Sony Xperia 1 II
Geekbench AI Score
1139
Single Precision Score
1138
Half Precision Score
1970
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:45 PM |
| Views | 6 |
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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
100% |
1506
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2435
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3828
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
1446
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (Q)
|
95% |
3487
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2053
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2087
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3498
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4192
5.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4175
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
8777
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2073
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.6 IPS |
|
|
Text Classification (HP)
|
100% |
579
772.3 IPS |
|
|
Text Classification (Q)
|
88% |
936
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
