Sony XQ-CT54
Geekbench AI Score
1125
Single Precision Score
1888
Half Precision Score
1701
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KotofAlex |
| Upload Date | December 02 2025 03:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (Q)
|
99% |
1398
260.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2637
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5944
6.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
11009
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
9953
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
907
71.9 IPS |
|
|
Object Detection (Q)
|
85% |
833
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
3456
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2469
19.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4320
33.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
3518
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5769
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
11981
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12248
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1916
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1930
71.5 IPS |
|
|
Text Classification (SP)
|
35% |
39
375.7 IPS |
|
|
Text Classification (HP)
|
35% |
50
453.3 IPS |
|
|
Text Classification (Q)
|
35% |
49
446.7 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
97% |
535
9.24 IPS |
|
|
Machine Translation (Q)
|
64% |
472
9.71 IPS |
