Sony Xperia 5 II
Geekbench AI Score
410
Single Precision Score
458
Half Precision Score
1348
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 12:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
97% |
1515
282.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
11360
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
85% |
1627
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.94 IPS |
|
|
Face Detection (Q)
|
97% |
3923
46.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
460
3.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
22% |
256
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
442
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3599
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5310
196.8 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.8 IPS |
|
|
Text Classification (HP)
|
100% |
191
254.9 IPS |
|
|
Text Classification (Q)
|
93% |
158
212.2 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
54% |
187
5.26 IPS |
