Xiaomi 2312DRA50C
Geekbench ML Score
409
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 02:46 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2312DRA50C |
| Model ID | Xiaomi 2312DRA50C |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
180
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
191
35.7 IPS |
|
|
Image Classification (I8)
|
97% |
419
78.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
300
5.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
301
5.03 IPS |
|
|
Image Segmentation (I8)
|
98% |
454
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
447
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
450
0.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2284
2.77 IPS |
|
|
Object Detection (F32)
|
100% |
208
15.5 IPS |
|
|
Object Detection (F16)
|
100% |
202
15.1 IPS |
|
|
Object Detection (I8)
|
61% |
422
31.5 IPS |
|
|
Face Detection (F32)
|
100% |
459
5.46 IPS |
|
|
Face Detection (F16)
|
100% |
449
5.34 IPS |
|
|
Face Detection (I8)
|
86% |
911
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
423
3.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
434
3.37 IPS |
|
|
Depth Estimation (I8)
|
95% |
989
7.67 IPS |
|
|
Style Transfer (F32)
|
100% |
758
1.00 IPS |
|
|
Style Transfer (F16)
|
100% |
762
1.00 IPS |
|
|
Style Transfer (I8)
|
98% |
2065
2.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
242
8.63 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
252
8.99 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
574
20.5 IPS |
|
|
Text Classification (F32)
|
100% |
198
285.1 IPS |
|
|
Text Classification (F16)
|
100% |
208
298.6 IPS |
|
|
Text Classification (I8)
|
92% |
189
272.0 IPS |
|
|
Machine Translation (F32)
|
100% |
425
7.82 IPS |
|
|
Machine Translation (F16)
|
100% |
442
8.12 IPS |
|
|
Machine Translation (I8)
|
64% |
226
4.15 IPS |
