Xiaomi 2311DRK48C
Geekbench ML Score
543
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 02:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48C |
| Model ID | Xiaomi 2311DRK48C |
| Motherboard | duchamp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
249
46.7 IPS |
|
|
Image Classification (F16)
|
100% |
246
46.1 IPS |
|
|
Image Classification (I8)
|
97% |
368
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
5.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
367
6.14 IPS |
|
|
Image Segmentation (I8)
|
98% |
464
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
582
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
686
0.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
2566
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
249
18.6 IPS |
|
|
Object Detection (I8)
|
61% |
498
37.2 IPS |
|
|
Face Detection (F32)
|
100% |
706
8.40 IPS |
|
|
Face Detection (F16)
|
100% |
713
8.48 IPS |
|
|
Face Detection (I8)
|
86% |
1029
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
660
5.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
681
5.28 IPS |
|
|
Depth Estimation (I8)
|
95% |
1190
9.23 IPS |
|
|
Style Transfer (F32)
|
100% |
1413
1.86 IPS |
|
|
Style Transfer (F16)
|
100% |
1425
1.87 IPS |
|
|
Style Transfer (I8)
|
98% |
3442
4.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
370
13.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
362
12.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
947
33.8 IPS |
|
|
Text Classification (F32)
|
100% |
243
348.9 IPS |
|
|
Text Classification (F16)
|
100% |
247
355.6 IPS |
|
|
Text Classification (I8)
|
92% |
198
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
513
9.44 IPS |
|
|
Machine Translation (F16)
|
100% |
523
9.63 IPS |
|
|
Machine Translation (I8)
|
64% |
309
5.69 IPS |
