Sony XQ-EC54
Geekbench AI Score
1964
Single Precision Score
3080
Half Precision Score
2432
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.1 IPS |
|
|
Image Classification (Q)
|
100% |
1710
318.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2618
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4733
76.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3781
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18624
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18044
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (HP)
|
99% |
1600
126.9 IPS |
|
|
Object Detection (Q)
|
87% |
1543
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (Q)
|
97% |
5701
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7871
60.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
5838
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12881
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26851
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27356
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4558
168.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4405
163.2 IPS |
|
|
Text Classification (SP)
|
35% |
48
469.0 IPS |
|
|
Text Classification (HP)
|
35% |
65
592.0 IPS |
|
|
Text Classification (Q)
|
33% |
47
565.4 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
43% |
214
12.1 IPS |
