Sony XQ-DQ54
Geekbench AI Score
441
Single Precision Score
443
Half Precision Score
933
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
298
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
718
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1798
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
671
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
1312
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1271
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
919
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
860
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
1967
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.5 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.1 IPS |
|
|
Text Classification (Q)
|
91% |
563
756.4 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
433
10.6 IPS |
