Sony XQ-FS44
Geekbench AI Score
1290
Single Precision Score
2195
Half Precision Score
2153
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
1093
203.2 IPS |
|
|
Image Classification (Q)
|
99% |
1732
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2778
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (Q)
|
86% |
1339
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
3763
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1628
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4624
35.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3837
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5824
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
12431
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10746
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2175
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2145
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.3 IPS |
|
|
Text Classification (HP)
|
100% |
663
884.7 IPS |
|
|
Text Classification (Q)
|
91% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
57% |
729
17.8 IPS |
