Sony XQ-DE54
Geekbench AI Score
271
Single Precision Score
270
Half Precision Score
612
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
416
77.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1067
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
87% |
438
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (Q)
|
97% |
916
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
369
2.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
862
7.82 IPS |
|
|
Style Transfer (SP)
|
100% |
658
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1765
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
588
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.7 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.3 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.9 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.51 IPS |
