Sony Xperia 5 II
Geekbench AI Score
250
Single Precision Score
252
Half Precision Score
969
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony Xperia 5 II |
| Model ID | Sony Xperia 5 II |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
96% |
1098
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1205
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
12938
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
84% |
1202
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
2049
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
5212
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
517
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
18014
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.1 IPS |
|
|
Text Classification (HP)
|
100% |
231
307.7 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.0 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.97 IPS |
