Xiaomi Redmi K40
Geekbench ML Score
521
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 23 2024 09:28 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
284
53.1 IPS |
|
|
Image Classification (F16)
|
100% |
408
76.3 IPS |
|
|
Image Classification (I8)
|
97% |
406
76.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
6.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
674
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
688
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
540
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1083
1.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
1078
1.31 IPS |
|
|
Object Detection (F32)
|
100% |
194
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
296
22.1 IPS |
|
|
Object Detection (I8)
|
62% |
208
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
675
8.03 IPS |
|
|
Face Detection (F16)
|
97% |
1329
15.8 IPS |
|
|
Face Detection (I8)
|
87% |
1407
16.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
663
5.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
1237
9.59 IPS |
|
|
Depth Estimation (I8)
|
95% |
1252
9.71 IPS |
|
|
Style Transfer (F32)
|
100% |
1225
1.61 IPS |
|
|
Style Transfer (F16)
|
100% |
2699
3.55 IPS |
|
|
Style Transfer (I8)
|
98% |
2690
3.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
268
9.58 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
470
16.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
453
16.2 IPS |
|
|
Text Classification (F32)
|
100% |
137
196.8 IPS |
|
|
Text Classification (F16)
|
100% |
136
195.7 IPS |
|
|
Text Classification (I8)
|
92% |
237
340.0 IPS |
|
|
Machine Translation (F32)
|
100% |
246
4.53 IPS |
|
|
Machine Translation (F16)
|
100% |
247
4.55 IPS |
|
|
Machine Translation (I8)
|
64% |
295
5.42 IPS |
