Sony XQ-DQ54
Geekbench AI Score
765
Single Precision Score
753
Half Precision Score
1535
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | November 21 2025 01:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
100% |
1028
191.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1594
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
3770
4.47 IPS |
|
|
Object Detection (SP)
|
98% |
434
34.5 IPS |
|
|
Object Detection (HP)
|
98% |
387
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
1120
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
2550
30.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1343
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2799
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2576
3.34 IPS |
|
|
Style Transfer (HP)
|
89% |
2472
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6684
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1804
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
301
402.0 IPS |
|
|
Text Classification (HP)
|
99% |
270
360.7 IPS |
|
|
Text Classification (Q)
|
88% |
424
571.6 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
418
14.8 IPS |
