Xiaomi 2311DRK48I
Geekbench ML Score
530
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 09:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48I |
| Model ID | Xiaomi 2311DRK48I |
| 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 | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
260
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
225
42.1 IPS |
|
|
Image Classification (I8)
|
97% |
368
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
5.80 IPS |
|
|
Image Segmentation (I8)
|
98% |
439
7.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
681
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
665
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
254
18.9 IPS |
|
|
Object Detection (I8)
|
61% |
468
35.0 IPS |
|
|
Face Detection (F32)
|
100% |
659
7.84 IPS |
|
|
Face Detection (F16)
|
100% |
656
7.80 IPS |
|
|
Face Detection (I8)
|
86% |
963
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
662
5.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
657
5.09 IPS |
|
|
Depth Estimation (I8)
|
95% |
1094
8.49 IPS |
|
|
Style Transfer (F32)
|
100% |
1386
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1317
1.73 IPS |
|
|
Style Transfer (I8)
|
98% |
3202
4.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
356
12.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
956
34.1 IPS |
|
|
Text Classification (F32)
|
100% |
268
385.5 IPS |
|
|
Text Classification (F16)
|
100% |
278
398.9 IPS |
|
|
Text Classification (I8)
|
92% |
213
306.6 IPS |
|
|
Machine Translation (F32)
|
100% |
475
8.74 IPS |
|
|
Machine Translation (F16)
|
100% |
480
8.84 IPS |
|
|
Machine Translation (I8)
|
64% |
260
4.79 IPS |
