Xiaomi 2311DRK48I
Geekbench ML Score
703
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 04:22 PM |
| Views | 2 |
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 | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
383
71.7 IPS |
|
|
Image Classification (F16)
|
100% |
395
73.8 IPS |
|
|
Image Classification (I8)
|
97% |
594
111.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
492
8.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
492
8.22 IPS |
|
|
Image Segmentation (I8)
|
98% |
608
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
853
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
824
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
3077
3.73 IPS |
|
|
Object Detection (F32)
|
100% |
348
26.0 IPS |
|
|
Object Detection (F16)
|
100% |
346
25.8 IPS |
|
|
Object Detection (I8)
|
61% |
653
48.7 IPS |
|
|
Face Detection (F32)
|
100% |
796
9.47 IPS |
|
|
Face Detection (F16)
|
100% |
828
9.84 IPS |
|
|
Face Detection (I8)
|
86% |
1169
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
810
6.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
820
6.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
1238
9.60 IPS |
|
|
Style Transfer (F32)
|
100% |
1609
2.12 IPS |
|
|
Style Transfer (F16)
|
100% |
1624
2.14 IPS |
|
|
Style Transfer (I8)
|
98% |
3758
4.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
489
17.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
483
17.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1420
50.7 IPS |
|
|
Text Classification (F32)
|
100% |
387
556.1 IPS |
|
|
Text Classification (F16)
|
100% |
393
565.1 IPS |
|
|
Text Classification (I8)
|
92% |
295
424.3 IPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (I8)
|
64% |
277
5.10 IPS |
