Sony XQ-EC54
Geekbench AI Score
1093
Single Precision Score
1670
Half Precision Score
1488
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
96% |
514
96.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
2617
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
87% |
873
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
1731
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1941
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3810
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3108
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6806
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
10935
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10755
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.4 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.1 IPS |
|
|
Text Classification (Q)
|
91% |
737
990.2 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
587
14.3 IPS |
