Xiaomi Redmi K60 Pro
Geekbench ML Score
1068
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 11:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi K60 Pro |
| Model ID | Xiaomi 22127RK46C |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
525
98.2 IPS |
|
|
Image Classification (F16)
|
100% |
526
98.4 IPS |
|
|
Image Classification (I8)
|
97% |
886
165.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
691
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
670
11.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
823
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1238
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
1210
1.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
4940
5.98 IPS |
|
|
Object Detection (F32)
|
100% |
558
41.7 IPS |
|
|
Object Detection (F16)
|
100% |
554
41.3 IPS |
|
|
Object Detection (I8)
|
61% |
1137
84.9 IPS |
|
|
Face Detection (F32)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1190
14.2 IPS |
|
|
Face Detection (I8)
|
86% |
2013
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1272
9.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
1255
9.73 IPS |
|
|
Depth Estimation (I8)
|
95% |
2192
17.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2303
3.03 IPS |
|
|
Style Transfer (F16)
|
100% |
2210
2.91 IPS |
|
|
Style Transfer (I8)
|
98% |
4436
5.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
823
29.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
822
29.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2013
71.9 IPS |
|
|
Text Classification (F32)
|
100% |
592
850.4 IPS |
|
|
Text Classification (F16)
|
100% |
572
821.8 IPS |
|
|
Text Classification (I8)
|
92% |
464
667.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (I8)
|
64% |
441
8.12 IPS |
