Sony XQ-EC54
Geekbench AI Score
2670
Single Precision Score
2634
Half Precision Score
4119
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (Q)
|
100% |
3608
671.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4032
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
9158
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
2127
169.2 IPS |
|
|
Object Detection (HP)
|
98% |
2070
164.7 IPS |
|
|
Object Detection (Q)
|
83% |
3228
260.8 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
7144
85.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4052
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3919
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6728
61.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9709
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9413
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18103
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4474
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1180
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
