Sony Xperia 5 II
Geekbench AI Score
1151
Single Precision Score
1159
Half Precision Score
2092
Quantized Score
Geekbench AI 1.4.0 Corporate for Android AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
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 XQ-AS72 |
| 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% |
551
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
100% |
1498
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
3836
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
1431
115.6 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
95% |
3478
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1805
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3496
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4282
5.56 IPS |
|
|
Style Transfer (HP)
|
89% |
4313
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
8991
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2099
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.6 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.8 IPS |
|
|
Text Classification (Q)
|
88% |
913
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
