Sony Xperia 1 II
Geekbench AI Score
377
Single Precision Score
630
Half Precision Score
625
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kochitora |
| Upload Date | January 02 2025 12:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
97% |
366
68.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
969
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
89% |
249
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1171
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.45 IPS |
|
|
Depth Estimation (Q)
|
62% |
893
8.46 IPS |
|
|
Style Transfer (SP)
|
100% |
1107
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2772
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2801
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.4 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.4 IPS |
|
|
Text Classification (Q)
|
91% |
387
519.6 IPS |
|
|
Machine Translation (SP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.69 IPS |
