Sony XQ-EC54
Geekbench AI Score
488
Single Precision Score
488
Half Precision Score
1120
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-EC54 |
| Model ID | Sony XQ-EC54 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
99% |
801
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1929
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
824
66.1 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (Q)
|
97% |
1717
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
629
4.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1502
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2545
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1125
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.6 IPS |
|
|
Text Classification (Q)
|
91% |
725
974.4 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
586
14.3 IPS |
