Sony XQ-DQ72
Geekbench AI Score
948
Single Precision Score
825
Half Precision Score
1647
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | restuff |
| Upload Date | October 13 2025 09:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DQ72 |
| Model ID | Sony XQ-DQ72 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1054
196.1 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (Q)
|
100% |
1433
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1654
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1882
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
3791
4.50 IPS |
|
|
Object Detection (SP)
|
98% |
392
31.2 IPS |
|
|
Object Detection (HP)
|
98% |
430
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1322
106.8 IPS |
|
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2531
30.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1373
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2311
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3913
5.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3663
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7367
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1902
70.5 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (HP)
|
99% |
393
524.8 IPS |
|
|
Text Classification (Q)
|
88% |
568
766.1 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
50% |
267
9.49 IPS |
