Sony XQ-DE54
Geekbench AI Score
684
Single Precision Score
715
Half Precision Score
1487
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 10:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DE54 |
| Model ID | Sony XQ-DE54 |
| 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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
100% |
1102
204.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1143
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1561
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
3404
4.04 IPS |
|
|
Object Detection (SP)
|
98% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
98% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
83% |
1049
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2232
26.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1376
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
2353
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2539
3.30 IPS |
|
|
Style Transfer (HP)
|
89% |
2624
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6226
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1548
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.0 IPS |
|
|
Text Classification (HP)
|
99% |
286
382.3 IPS |
|
|
Text Classification (Q)
|
88% |
606
817.0 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
