Xiaomi M2007J3SC
Geekbench ML Score
441
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 24 2024 04:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2007J3SC |
| Model ID | Xiaomi M2007J3SC |
| Motherboard | apollo |
| 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 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
17.4 IPS |
|
|
Image Classification (F16)
|
100% |
53
9.89 IPS |
|
|
Image Classification (I8)
|
97% |
136
25.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
256
4.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
4.21 IPS |
|
|
Image Segmentation (I8)
|
98% |
345
5.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
476
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
465
0.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
2421
2.93 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
265
19.8 IPS |
|
|
Object Detection (I8)
|
61% |
642
47.9 IPS |
|
|
Face Detection (F32)
|
100% |
561
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
575
6.84 IPS |
|
|
Face Detection (I8)
|
86% |
1449
17.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
536
4.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
543
4.21 IPS |
|
|
Depth Estimation (I8)
|
95% |
1079
8.37 IPS |
|
|
Style Transfer (F32)
|
100% |
886
1.17 IPS |
|
|
Style Transfer (F16)
|
100% |
915
1.20 IPS |
|
|
Style Transfer (I8)
|
98% |
2676
3.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
346
12.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
330
11.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1131
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
329
472.4 IPS |
|
|
Text Classification (F16)
|
100% |
322
462.2 IPS |
|
|
Text Classification (I8)
|
92% |
300
431.7 IPS |
|
|
Machine Translation (F32)
|
100% |
468
8.60 IPS |
|
|
Machine Translation (F16)
|
100% |
446
8.20 IPS |
|
|
Machine Translation (I8)
|
64% |
237
4.36 IPS |
