Xiaomi 2311DRK48G
Geekbench ML Score
759
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 25 2024 11:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48G |
| Model ID | Xiaomi 2311DRK48G |
| 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% |
389
72.7 IPS |
|
|
Image Classification (F16)
|
100% |
396
74.1 IPS |
|
|
Image Classification (I8)
|
97% |
626
117.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
491
8.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (I8)
|
98% |
619
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
855
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
843
1.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
3691
4.47 IPS |
|
|
Object Detection (F32)
|
100% |
404
30.2 IPS |
|
|
Object Detection (F16)
|
100% |
400
29.9 IPS |
|
|
Object Detection (I8)
|
61% |
750
56.0 IPS |
|
|
Face Detection (F32)
|
100% |
925
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
906
10.8 IPS |
|
|
Face Detection (I8)
|
86% |
1342
16.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
912
7.07 IPS |
|
|
Depth Estimation (F16)
|
100% |
878
6.81 IPS |
|
|
Depth Estimation (I8)
|
95% |
1615
12.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1685
2.22 IPS |
|
|
Style Transfer (F16)
|
100% |
1715
2.26 IPS |
|
|
Style Transfer (I8)
|
98% |
4360
5.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
508
18.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1462
52.2 IPS |
|
|
Text Classification (F32)
|
100% |
415
596.1 IPS |
|
|
Text Classification (F16)
|
100% |
420
603.3 IPS |
|
|
Text Classification (I8)
|
92% |
308
442.0 IPS |
|
|
Machine Translation (F32)
|
100% |
720
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
698
12.8 IPS |
|
|
Machine Translation (I8)
|
64% |
286
5.26 IPS |
