Sony XQ-CT54
Geekbench AI Score
329
Single Precision Score
342
Half Precision Score
776
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KotofAlex |
| Upload Date | June 12 2025 04:46 PM |
| Views | 7 |
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% |
143
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.4 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
544
8.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
1427
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
579
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
95% |
1160
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1296
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1151
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1131
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3012
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
88% |
306
412.2 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (Q)
|
50% |
261
9.26 IPS |
