Sony Xperia 5 II
Geekbench AI Score
398
Single Precision Score
674
Half Precision Score
693
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
257
47.8 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
97% |
370
69.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
979
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
86% |
330
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1395
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.72 IPS |
|
|
Depth Estimation (Q)
|
75% |
1078
8.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1123
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2883
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2873
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
225
299.7 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.3 IPS |
|
|
Text Classification (Q)
|
91% |
386
519.0 IPS |
|
|
Machine Translation (SP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.70 IPS |
