Sony Xperia 1 II
Geekbench AI Score
419
Single Precision Score
506
Half Precision Score
1344
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 08 2026 09:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
97% |
1339
249.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
11323
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
85% |
1664
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
3514
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.40 IPS |
|
|
Depth Estimation (Q)
|
22% |
255
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3879
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5231
193.8 IPS |
|
|
Text Classification (SP)
|
71% |
11
15.4 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
93% |
156
209.8 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
54% |
212
5.98 IPS |
