Sony XQ-EC54
Geekbench AI Score
2791
Single Precision Score
2687
Half Precision Score
4269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2324
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (Q)
|
100% |
3629
674.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4145
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4310
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9487
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2145
170.7 IPS |
|
|
Object Detection (HP)
|
98% |
2141
170.3 IPS |
|
|
Object Detection (Q)
|
83% |
3014
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
4108
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (Q)
|
95% |
7233
86.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3893
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6776
62.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10178
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9998
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19092
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4994
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1178
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
850
30.2 IPS |
