Xiaomi M2007J3SC
Geekbench ML Score
796
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 24 2024 04:39 PM |
| Views | 3 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
527
98.7 IPS |
|
|
Image Classification (F16)
|
100% |
773
144.6 IPS |
|
|
Image Classification (I8)
|
97% |
1346
251.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
672
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1254
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1894
2.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
7013
8.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
11176
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
454
33.9 IPS |
|
|
Object Detection (F16)
|
99% |
675
50.4 IPS |
|
|
Object Detection (I8)
|
59% |
1114
83.2 IPS |
|
|
Face Detection (F32)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (F16)
|
97% |
1586
18.9 IPS |
|
|
Face Detection (I8)
|
88% |
3460
41.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
510
3.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
581
4.51 IPS |
|
|
Depth Estimation (I8)
|
82% |
7640
59.3 IPS |
|
|
Style Transfer (F32)
|
100% |
777
1.02 IPS |
|
|
Style Transfer (F16)
|
100% |
814
1.07 IPS |
|
|
Style Transfer (I8)
|
98% |
3703
4.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
976
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2440
87.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
5590
199.6 IPS |
|
|
Text Classification (F32)
|
64% |
7
9.96 IPS |
|
|
Text Classification (F16)
|
64% |
7
10.3 IPS |
|
|
Text Classification (I8)
|
92% |
96
137.8 IPS |
|
|
Machine Translation (F32)
|
100% |
212
3.89 IPS |
|
|
Machine Translation (F16)
|
100% |
353
6.49 IPS |
|
|
Machine Translation (I8)
|
58% |
319
5.88 IPS |
