Sony Xperia 1 II
Geekbench AI Score
1160
Single Precision Score
1159
Half Precision Score
2095
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kochitora |
| Upload Date | January 02 2025 12:03 AM |
| Views | 4 |
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-AT42 |
| 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 | 11.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
100% |
1507
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2481
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
3830
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
1452
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
3483
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2131
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3482
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4269
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4276
5.55 IPS |
|
|
Style Transfer (Q)
|
98% |
8970
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2090
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
579
772.5 IPS |
|
|
Text Classification (HP)
|
100% |
576
768.3 IPS |
|
|
Text Classification (Q)
|
88% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
536
19.0 IPS |
