Sony XQ-ES54
Geekbench AI Score
685
Single Precision Score
610
Half Precision Score
1220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | December 23 2024 06:11 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony XQ-ES54 |
| Model ID | Sony XQ-ES54 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
100% |
1333
247.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1884
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2995
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
1116
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2800
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1372
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2196
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3173
4.12 IPS |
|
|
Style Transfer (HP)
|
89% |
3190
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6555
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
206.2 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.4 IPS |
|
|
Text Classification (Q)
|
88% |
256
344.9 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.92 IPS |
