Xiaomi 2304FPN6DC
Geekbench ML Score
914
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 01:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
433
81.0 IPS |
|
|
Image Classification (F16)
|
100% |
395
73.9 IPS |
|
|
Image Classification (I8)
|
97% |
815
152.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
583
9.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
704
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1023
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1045
1.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
4178
5.06 IPS |
|
|
Object Detection (F32)
|
100% |
454
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
492
36.7 IPS |
|
|
Object Detection (I8)
|
61% |
1073
80.1 IPS |
|
|
Face Detection (F32)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (I8)
|
86% |
1684
20.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1074
8.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
1043
8.09 IPS |
|
|
Depth Estimation (I8)
|
95% |
2028
15.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1885
2.48 IPS |
|
|
Style Transfer (F16)
|
100% |
1887
2.48 IPS |
|
|
Style Transfer (I8)
|
98% |
3914
5.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
658
23.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
635
22.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1799
64.2 IPS |
|
|
Text Classification (F32)
|
100% |
490
703.7 IPS |
|
|
Text Classification (F16)
|
100% |
494
710.2 IPS |
|
|
Text Classification (I8)
|
92% |
447
642.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1004
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
64% |
467
8.59 IPS |
