Sony Xperia 5 II
Geekbench AI Score
250
Single Precision Score
251
Half Precision Score
398
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 12:04 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
96% |
1003
187.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1194
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
12837
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
89% |
1267
101.4 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
2046
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.42 IPS |
|
|
Depth Estimation (HP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
17861
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.0 IPS |
|
|
Text Classification (Q)
|
93% |
239
320.5 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.01 IPS |
