Sony XQ-ES54
Geekbench AI Score
198
Single Precision Score
198
Half Precision Score
481
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | December 23 2024 05:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
116
21.5 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (Q)
|
87% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.55 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (Q)
|
97% |
684
8.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
260
2.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
656
5.95 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1299
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
91% |
317
426.5 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.47 IPS |
