Xiaomi 2304FPN6DC
Geekbench ML Score
1052
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 03:25 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2304FPN6DC |
| Model ID | Xiaomi 2304FPN6DC |
| 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 | 14.84 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
518
96.9 IPS |
|
|
Image Classification (F16)
|
100% |
529
98.9 IPS |
|
|
Image Classification (I8)
|
97% |
881
164.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
683
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
701
11.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
748
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1211
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
1221
1.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
5007
6.06 IPS |
|
|
Object Detection (F32)
|
100% |
552
41.2 IPS |
|
|
Object Detection (F16)
|
100% |
555
41.5 IPS |
|
|
Object Detection (I8)
|
61% |
1119
83.5 IPS |
|
|
Face Detection (F32)
|
100% |
1207
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (I8)
|
86% |
1935
23.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1192
9.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
1218
9.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
2216
17.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2107
2.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2055
2.70 IPS |
|
|
Style Transfer (I8)
|
98% |
5295
6.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
813
29.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
752
26.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2005
71.6 IPS |
|
|
Text Classification (F32)
|
100% |
555
798.1 IPS |
|
|
Text Classification (F16)
|
100% |
569
817.9 IPS |
|
|
Text Classification (I8)
|
92% |
432
620.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1228
22.6 IPS |
|
|
Machine Translation (I8)
|
64% |
409
7.52 IPS |
