Xiaomi M2003J15SC
Geekbench ML Score
216
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2023 05:42 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi M2003J15SC |
| Model ID | Xiaomi M2003J15SC |
| Motherboard | merlinnfc |
| CPU Information | |
|---|---|
| Name | ARM MT6769Z |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
159
17.1 IPS |
|
|
Image Classification (F16)
|
100% |
350
37.6 IPS |
|
|
Image Classification (I8)
|
81% |
339
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
909
5.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
879
5.43 IPS |
|
|
Pose Estimation (F32)
|
0
|
||
|
Pose Estimation (F16)
|
0% |
374
1.51 IPS |
|
|
Pose Estimation (I8)
|
0% |
373
1.51 IPS |
|
|
Object Detection (F32)
|
100% |
113
3.98 IPS |
|
|
Object Detection (F16)
|
99% |
214
7.50 IPS |
|
|
Object Detection (I8)
|
54% |
260
9.11 IPS |
|
|
Face Detection (F32)
|
100% |
336
3.86 IPS |
|
|
Face Detection (F16)
|
97% |
704
8.09 IPS |
|
|
Face Detection (I8)
|
75% |
623
7.15 IPS |
|
|
Text Classification (F32)
|
100% |
213
84.1 IPS |
|
|
Text Classification (F16)
|
46% |
285
112.8 IPS |
|
|
Machine Translation (F32)
|
100% |
84
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
77
11.9 IPS |
