Sony XQ-FS54
Geekbench AI Score
2762
Single Precision Score
2651
Half Precision Score
4653
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 02:59 PM |
| Views | 1 |
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% |
2005
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
2275
423.2 IPS |
|
|
Image Classification (Q)
|
100% |
4467
830.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5345
86.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5614
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5472
6.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
13427
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (HP)
|
98% |
1767
140.6 IPS |
|
|
Object Detection (Q)
|
83% |
3979
321.4 IPS |
|
|
Face Detection (SP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4414
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
9757
116.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4749
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4578
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8663
79.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7493
9.73 IPS |
|
|
Style Transfer (HP)
|
89% |
7586
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
21180
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4589
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1094
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
