Sony XQ-ES54
Geekbench AI Score
198
Single Precision Score
199
Half Precision Score
7990
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | December 23 2024 05:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
114
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
97% |
7554
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
5797
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
21312
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.15 IPS |
|
|
Object Detection (Q)
|
86% |
3621
291.1 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
21419
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
259
2.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
16482
154.3 IPS |
|
|
Style Transfer (SP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
450
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
44095
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11153
413.3 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.5 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.1 IPS |
|
|
Text Classification (Q)
|
93% |
2777
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
55% |
651
17.1 IPS |
