Sony XQ-DQ54
Geekbench AI Score
277
Single Precision Score
278
Half Precision Score
634
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | November 21 2025 01:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DQ54 |
| Model ID | Sony XQ-DQ54 |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1100
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
452
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
950
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
890
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1825
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
290.1 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.8 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.7 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
328
8.02 IPS |
