Sony Xperia 5 II
Geekbench AI Score
380
Single Precision Score
621
Half Precision Score
634
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:39 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% |
252
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
97% |
364
67.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
970
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (Q)
|
86% |
255
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1091
8.41 IPS |
|
|
Depth Estimation (Q)
|
75% |
1038
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1109
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2769
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2758
3.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
531
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.9 IPS |
|
|
Text Classification (Q)
|
91% |
387
520.3 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.76 IPS |
