Sony XQ-FS44
Geekbench AI Score
573
Single Precision Score
27494
Half Precision Score
62095
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
21278
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
50400
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
13595
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41842
680.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
123314
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
476787
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
19089
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
21817
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
42883
509.5 IPS |
|
|
Face Detection (Q)
|
97% |
158053
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
84728
652.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
146082
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1330
1.71 IPS |
|
|
Style Transfer (HP)
|
98% |
98399
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489278
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55094
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135818
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
411
549.2 IPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8001
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3165
81.5 IPS |
