Sony XQ-DQ54
Geekbench AI Score
1625
Single Precision Score
2574
Half Precision Score
2137
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | November 21 2025 01:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (Q)
|
99% |
1250
233.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3188
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
13643
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
99% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
82% |
1283
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6395
76.0 IPS |
|
|
Face Detection (Q)
|
97% |
5029
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3834
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5739
44.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
4775
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9674
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20706
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19528
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3170
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3409
126.3 IPS |
|
|
Text Classification (SP)
|
35% |
54
526.8 IPS |
|
|
Text Classification (HP)
|
35% |
62
566.4 IPS |
|
|
Text Classification (Q)
|
35% |
55
535.8 IPS |
|
|
Machine Translation (SP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (HP)
|
97% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
49% |
325
12.2 IPS |
