Xiaomi Redmi K60 Pro
Geekbench ML Score
922
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 05:45 AM |
| Views | 2 |
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% |
455
85.2 IPS |
|
|
Image Classification (F16)
|
100% |
487
91.1 IPS |
|
|
Image Classification (I8)
|
97% |
748
139.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
619
10.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
732
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1197
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
1161
1.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
4419
5.35 IPS |
|
|
Object Detection (F32)
|
100% |
499
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
254
19.0 IPS |
|
|
Object Detection (I8)
|
61% |
1011
75.4 IPS |
|
|
Face Detection (F32)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
1730
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1129
8.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
1119
8.68 IPS |
|
|
Depth Estimation (I8)
|
95% |
1946
15.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2070
2.72 IPS |
|
|
Style Transfer (F16)
|
100% |
2053
2.70 IPS |
|
|
Style Transfer (I8)
|
98% |
3655
4.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
677
24.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
677
24.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1705
60.9 IPS |
|
|
Text Classification (F32)
|
100% |
506
727.1 IPS |
|
|
Text Classification (F16)
|
100% |
525
754.9 IPS |
|
|
Text Classification (I8)
|
92% |
337
484.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1033
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1008
18.6 IPS |
|
|
Machine Translation (I8)
|
64% |
404
7.43 IPS |
