Xiaomi M2007J17C
Geekbench ML Score
377
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2025 07:53 AM |
| Views | 1 |
System Information
| 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 |
Inference Performance
| 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 |
