Sony XQ-ES54
Geekbench AI Score
202
Single Precision Score
283
Half Precision Score
289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | December 23 2024 06:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
97% |
208
38.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
179
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
285
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.56 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
89% |
131
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (Q)
|
97% |
473
5.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
450
3.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
363
3.41 IPS |
|
|
Style Transfer (SP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1199
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1200
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
140
5.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.06 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
91% |
318
426.8 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.49 IPS |
