Sony Xperia 10
Geekbench AI Score
10
Single Precision Score
10
Half Precision Score
6
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 630 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony Xperia 10 |
| Model ID | Sony I4113 |
| Motherboard | sdm660 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2049 revision 4 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
791.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
834.8 IPS |
|
|
Image Classification (Q)
|
0% |
0
1.36 KIPS |
|
|
Image Segmentation (SP)
|
73% |
3329
57.5 IPS |
|
|
Image Segmentation (HP)
|
73% |
3333
57.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
9338
161.4 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
201.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
202.3 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
602.9 IPS |
|
|
Object Detection (SP)
|
0% |
0
274.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
273.9 IPS |
|
|
Object Detection (Q)
|
0% |
0
231.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
87.4 IPS |
|
|
Face Detection (HP)
|
0% |
0
88.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
164.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
243.3 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
238.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
219.8 IPS |
|
|
Style Transfer (SP)
|
32% |
32444
406.9 IPS |
|
|
Style Transfer (HP)
|
32% |
32004
401.4 IPS |
|
|
Style Transfer (Q)
|
0% |
0
1.70 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
590.5 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
589.0 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
100
1.18 KIPS |
|
|
Text Classification (SP)
|
29% |
190
3.28 KIPS |
|
|
Text Classification (HP)
|
29% |
186
3.21 KIPS |
|
|
Text Classification (Q)
|
29% |
138
2.38 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
1.91 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.83 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.63 IPS |
