Sony XQ-FS44
Geekbench AI Score
2422
Single Precision Score
2290
Half Precision Score
3930
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-FS44 |
| Model ID | Sony XQ-FS44 |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (Q)
|
100% |
4621
859.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5633
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5191
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4500
5.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
8793
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (HP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
2354
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5907
70.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3273
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6417
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9877
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
7638
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
16161
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4449
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1207
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
