Xiaomi 2304FPN6DG
Geekbench ML Score
1114
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 10 2024 12:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2304FPN6DG |
| Model ID | Xiaomi 2304FPN6DG |
| 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% |
340
63.6 IPS |
|
|
Image Classification (F16)
|
100% |
547
102.4 IPS |
|
|
Image Classification (I8)
|
97% |
903
168.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
686
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
744
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1231
1.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
1186
1.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
5089
6.16 IPS |
|
|
Object Detection (F32)
|
100% |
573
42.8 IPS |
|
|
Object Detection (F16)
|
100% |
597
44.5 IPS |
|
|
Object Detection (I8)
|
61% |
1276
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (I8)
|
86% |
2263
26.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1262
9.79 IPS |
|
|
Depth Estimation (F16)
|
100% |
1249
9.69 IPS |
|
|
Depth Estimation (I8)
|
95% |
2673
20.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2186
2.88 IPS |
|
|
Style Transfer (F16)
|
100% |
2230
2.93 IPS |
|
|
Style Transfer (I8)
|
98% |
5624
7.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
875
31.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
874
31.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2608
93.1 IPS |
|
|
Text Classification (F32)
|
100% |
656
942.4 IPS |
|
|
Text Classification (F16)
|
100% |
671
963.8 IPS |
|
|
Text Classification (I8)
|
92% |
533
766.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1288
23.7 IPS |
|
|
Machine Translation (I8)
|
64% |
456
8.40 IPS |
