Sony XQ-FS54
Geekbench AI Score
538
Single Precision Score
499
Half Precision Score
1145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
99% |
1094
204.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
555
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
2474
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
87% |
760
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.76 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
97% |
1420
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1503
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1074
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2609
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (Q)
|
91% |
717
964.1 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
453
11.1 IPS |
