Xiaomi Redmi K60 Pro
Geekbench ML Score
864
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 05:48 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
546
102.2 IPS |
|
|
Image Classification (F16)
|
100% |
854
159.8 IPS |
|
|
Image Classification (I8)
|
99% |
937
175.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
972
16.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
936
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
759
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
1200
1.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
1227
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
238
17.8 IPS |
|
|
Object Detection (F16)
|
100% |
256
19.1 IPS |
|
|
Object Detection (I8)
|
62% |
280
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (F16)
|
97% |
2930
34.8 IPS |
|
|
Face Detection (I8)
|
86% |
2680
31.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1251
9.70 IPS |
|
|
Depth Estimation (F16)
|
100% |
2353
18.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2524
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3119
4.10 IPS |
|
|
Style Transfer (F16)
|
100% |
7228
9.51 IPS |
|
|
Style Transfer (I8)
|
98% |
7264
9.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
397
14.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
232
8.28 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
230
8.21 IPS |
|
|
Text Classification (F32)
|
100% |
293
420.8 IPS |
|
|
Text Classification (F16)
|
100% |
291
418.5 IPS |
|
|
Text Classification (I8)
|
92% |
425
610.1 IPS |
|
|
Machine Translation (F32)
|
100% |
517
9.51 IPS |
|
|
Machine Translation (F16)
|
100% |
517
9.51 IPS |
|
|
Machine Translation (I8)
|
64% |
502
9.24 IPS |
