Sony XQ-FS54
Geekbench AI Score
2296
Single Precision Score
2128
Half Precision Score
3598
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-FS54 |
| Model ID | Sony XQ-FS54 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
1855
345.0 IPS |
|
|
Image Classification (Q)
|
100% |
4647
864.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5204
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4910
5.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
8716
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1208
96.2 IPS |
|
|
Object Detection (HP)
|
98% |
1107
88.1 IPS |
|
|
Object Detection (Q)
|
83% |
2224
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (Q)
|
95% |
5925
70.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3123
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2879
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6476
59.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7566
9.82 IPS |
|
|
Style Transfer (HP)
|
89% |
7674
9.96 IPS |
|
|
Style Transfer (Q)
|
98% |
15642
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3923
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
677
904.0 IPS |
|
|
Text Classification (HP)
|
99% |
601
802.5 IPS |
|
|
Text Classification (Q)
|
88% |
660
889.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.8 IPS |
