Upload Date | November 18 2024 09:42 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 15 |
Model | realme RMX5010 |
Model ID | realme RMX5010 |
Motherboard | sun |
Governor | walt |
CPU Information | |
---|---|
Name | Qualcomm ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
Base Frequency | 3.53 GHz |
Cluster 1 | 6 Cores @ 3.53 GHz |
Cluster 2 | 2 Cores @ 4.32 GHz |
Memory Information | |
---|---|
Size | 10.86 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
130
24.4 IPS |
|
Image Classification (F16)
|
100% |
129
24.1 IPS |
|
Image Classification (I8)
|
97% |
330
61.7 IPS |
|
Image Segmentation (F32)
|
100% |
162
2.70 IPS |
|
Image Segmentation (F16)
|
100% |
161
2.69 IPS |
|
Image Segmentation (I8)
|
98% |
330
5.51 IPS |
|
Pose Estimation (F32)
|
100% |
223
0.27 IPS |
|
Pose Estimation (F16)
|
100% |
223
0.27 IPS |
|
Pose Estimation (I8)
|
100% |
824
1.00 IPS |
|
Object Detection (F32)
|
100% |
136
10.2 IPS |
|
Object Detection (F16)
|
100% |
136
10.1 IPS |
|
Object Detection (I8)
|
61% |
338
25.3 IPS |
|
Face Detection (F32)
|
100% |
357
4.25 IPS |
|
Face Detection (F16)
|
100% |
356
4.23 IPS |
|
Face Detection (I8)
|
86% |
784
9.32 IPS |
|
Depth Estimation (F32)
|
100% |
302
2.34 IPS |
|
Depth Estimation (F16)
|
100% |
303
2.35 IPS |
|
Depth Estimation (I8)
|
95% |
842
6.53 IPS |
|
Style Transfer (F32)
|
100% |
555
0.73 IPS |
|
Style Transfer (F16)
|
100% |
552
0.73 IPS |
|
Style Transfer (I8)
|
98% |
1540
2.03 IPS |
|
Image Super-Resolution (F32)
|
100% |
155
5.55 IPS |
|
Image Super-Resolution (F16)
|
100% |
151
5.39 IPS |
|
Image Super-Resolution (I8)
|
98% |
598
21.4 IPS |
|
Text Classification (F32)
|
100% |
174
250.7 IPS |
|
Text Classification (F16)
|
100% |
172
246.5 IPS |
|
Text Classification (I8)
|
92% |
290
416.3 IPS |
|
Machine Translation (F32)
|
100% |
337
6.20 IPS |
|
Machine Translation (F16)
|
100% |
342
6.28 IPS |
|
Machine Translation (I8)
|
64% |
373
6.86 IPS |