Sony Xperia 5 II
Geekbench AI Score
900
Single Precision Score
899
Half Precision Score
1465
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia 5 II |
| Model ID | Sony SO-52A |
| 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% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
100% |
1488
276.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3827
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
83% |
1427
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3469
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2107
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1953
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3487
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4287
5.57 IPS |
|
|
Style Transfer (HP)
|
89% |
4280
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8953
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
647
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
172
230.2 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.9 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.4 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.84 IPS |
