Xiaomi 2304FPN6DC
Geekbench ML Score
576
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 01:36 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
257
48.2 IPS |
|
|
Image Classification (F16)
|
100% |
258
48.4 IPS |
|
|
Image Classification (I8)
|
97% |
653
122.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
5.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
315
5.27 IPS |
|
|
Image Segmentation (I8)
|
98% |
641
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
434
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
428
0.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
1797
2.18 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
|
Object Detection (F16)
|
100% |
273
20.4 IPS |
|
|
Object Detection (I8)
|
61% |
781
58.3 IPS |
|
|
Face Detection (F32)
|
100% |
629
7.48 IPS |
|
|
Face Detection (F16)
|
100% |
621
7.38 IPS |
|
|
Face Detection (I8)
|
86% |
1389
16.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
556
4.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
554
4.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
1599
12.4 IPS |
|
|
Style Transfer (F32)
|
100% |
901
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
896
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2317
3.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
301
10.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
305
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1111
39.7 IPS |
|
|
Text Classification (F32)
|
100% |
403
579.7 IPS |
|
|
Text Classification (F16)
|
100% |
411
590.5 IPS |
|
|
Text Classification (I8)
|
92% |
610
877.1 IPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
605
11.1 IPS |
|
|
Machine Translation (I8)
|
64% |
655
12.1 IPS |
