Upload Date | July 17 2025 07:53 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | Xiaomi M2007J17C |
Model ID | Xiaomi M2007J17C |
Motherboard | gauguinpro |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 6 Cores @ 1.80 GHz |
Cluster 2 | 2 Cores @ 2.21 GHz |
Memory Information | |
---|---|
Size | 7.21 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
190
35.6 IPS |
|
Image Classification (F16)
|
100% |
191
35.8 IPS |
|
Image Classification (I8)
|
97% |
423
79.2 IPS |
|
Image Segmentation (F32)
|
100% |
269
4.50 IPS |
|
Image Segmentation (F16)
|
100% |
257
4.29 IPS |
|
Image Segmentation (I8)
|
98% |
337
5.63 IPS |
|
Pose Estimation (F32)
|
100% |
370
0.45 IPS |
|
Pose Estimation (F16)
|
100% |
362
0.44 IPS |
|
Pose Estimation (I8)
|
100% |
1677
2.03 IPS |
|
Object Detection (F32)
|
100% |
207
15.4 IPS |
|
Object Detection (F16)
|
100% |
204
15.3 IPS |
|
Object Detection (I8)
|
61% |
497
37.1 IPS |
|
Face Detection (F32)
|
100% |
431
5.13 IPS |
|
Face Detection (F16)
|
100% |
426
5.06 IPS |
|
Face Detection (I8)
|
86% |
939
11.2 IPS |
|
Depth Estimation (F32)
|
100% |
401
3.11 IPS |
|
Depth Estimation (F16)
|
100% |
399
3.10 IPS |
|
Depth Estimation (I8)
|
95% |
912
7.07 IPS |
|
Style Transfer (F32)
|
100% |
623
0.82 IPS |
|
Style Transfer (F16)
|
100% |
623
0.82 IPS |
|
Style Transfer (I8)
|
98% |
1648
2.17 IPS |
|
Image Super-Resolution (F32)
|
100% |
210
7.49 IPS |
|
Image Super-Resolution (F16)
|
100% |
214
7.63 IPS |
|
Image Super-Resolution (I8)
|
98% |
572
20.4 IPS |
|
Text Classification (F32)
|
100% |
210
302.3 IPS |
|
Text Classification (F16)
|
100% |
211
302.6 IPS |
|
Text Classification (I8)
|
92% |
176
252.3 IPS |
|
Machine Translation (F32)
|
100% |
451
8.31 IPS |
|
Machine Translation (F16)
|
100% |
475
8.74 IPS |
|
Machine Translation (I8)
|
64% |
172
3.17 IPS |