Sony XQ-CT54
Geekbench AI Score
1077
Single Precision Score
1064
Half Precision Score
2533
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KotofAlex |
| Upload Date | November 12 2025 03:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony XQ-CT54 |
| Model ID | Sony XQ-CT54 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
100% |
1662
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2124
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2295
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
5046
5.98 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
1878
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
4113
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2121
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2150
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4259
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3781
4.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3662
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
10725
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2758
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.3 IPS |
|
|
Text Classification (HP)
|
100% |
570
760.7 IPS |
|
|
Text Classification (Q)
|
88% |
1039
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.5 IPS |
