Xiaomi 2311DRK48G
Geekbench ML Score
675
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | March 27 2024 07:04 PM |
| Views | 1 |
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 | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
402
75.2 IPS |
|
|
Image Classification (F16)
|
100% |
405
75.7 IPS |
|
|
Image Classification (I8)
|
97% |
636
119.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
503
8.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (I8)
|
98% |
546
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
828
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
806
0.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
3153
3.82 IPS |
|
|
Object Detection (F32)
|
100% |
324
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
325
24.3 IPS |
|
|
Object Detection (I8)
|
61% |
496
37.1 IPS |
|
|
Face Detection (F32)
|
100% |
778
9.26 IPS |
|
|
Face Detection (F16)
|
100% |
754
8.96 IPS |
|
|
Face Detection (I8)
|
86% |
1114
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
802
6.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
804
6.23 IPS |
|
|
Depth Estimation (I8)
|
95% |
1260
9.77 IPS |
|
|
Style Transfer (F32)
|
100% |
1670
2.20 IPS |
|
|
Style Transfer (F16)
|
100% |
1673
2.20 IPS |
|
|
Style Transfer (I8)
|
98% |
3767
4.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
474
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
472
16.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1160
41.4 IPS |
|
|
Text Classification (F32)
|
100% |
344
494.3 IPS |
|
|
Text Classification (F16)
|
100% |
348
499.8 IPS |
|
|
Text Classification (I8)
|
92% |
269
386.6 IPS |
|
|
Machine Translation (F32)
|
100% |
612
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
609
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
295
5.43 IPS |
