Xiaomi M2012K11AG
Geekbench ML Score
1309
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 10:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2012K11AG |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | alioth |
| 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
965
103.4 IPS |
|
|
Image Classification (F16)
|
100% |
1626
174.3 IPS |
|
|
Image Classification (I8)
|
80% |
1394
149.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2540
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4089
25.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
3918
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1294
5.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
2273
9.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
2262
9.15 IPS |
|
|
Object Detection (F32)
|
100% |
605
21.2 IPS |
|
|
Object Detection (F16)
|
99% |
716
25.1 IPS |
|
|
Object Detection (I8)
|
53% |
700
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1833
21.1 IPS |
|
|
Face Detection (F16)
|
97% |
3035
34.9 IPS |
|
|
Face Detection (I8)
|
76% |
2723
31.3 IPS |
|
|
Text Classification (F32)
|
100% |
514
203.3 IPS |
|
|
Text Classification (F16)
|
98% |
530
209.6 IPS |
|
|
Machine Translation (F32)
|
100% |
478
73.7 IPS |
|
|
Machine Translation (F16)
|
100% |
472
72.8 IPS |
