Sony Xperia 5 II
Geekbench AI Score
380
Single Precision Score
620
Half Precision Score
629
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 17 |
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% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
97% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
969
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
86% |
244
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.41 IPS |
|
|
Depth Estimation (Q)
|
75% |
1037
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1107
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2763
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2756
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
533
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (Q)
|
91% |
387
520.2 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.77 IPS |
