Xiaomi Redmi K40
Geekbench ML Score
482
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 23 2024 09:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi K40 |
| Model ID | Xiaomi M2012K11AC |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
51.9 IPS |
|
|
Image Classification (F16)
|
100% |
244
45.7 IPS |
|
|
Image Classification (I8)
|
97% |
503
94.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
327
5.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
5.87 IPS |
|
|
Image Segmentation (I8)
|
98% |
423
7.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
509
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
506
0.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
2074
2.51 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
270
20.2 IPS |
|
|
Object Detection (I8)
|
61% |
692
51.7 IPS |
|
|
Face Detection (F32)
|
100% |
577
6.86 IPS |
|
|
Face Detection (F16)
|
100% |
530
6.30 IPS |
|
|
Face Detection (I8)
|
86% |
1167
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
486
3.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
508
3.94 IPS |
|
|
Depth Estimation (I8)
|
95% |
992
7.69 IPS |
|
|
Style Transfer (F32)
|
100% |
762
1.00 IPS |
|
|
Style Transfer (F16)
|
100% |
767
1.01 IPS |
|
|
Style Transfer (I8)
|
98% |
1993
2.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
281
10.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
267
9.53 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
899
32.1 IPS |
|
|
Text Classification (F32)
|
100% |
276
397.2 IPS |
|
|
Text Classification (F16)
|
100% |
265
380.7 IPS |
|
|
Text Classification (I8)
|
92% |
232
333.7 IPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
468
8.61 IPS |
|
|
Machine Translation (I8)
|
64% |
219
4.03 IPS |
