Xiaomi 2304FPN6DC
Geekbench ML Score
1138
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 01:32 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
580
108.6 IPS |
|
|
Image Classification (F16)
|
100% |
913
170.8 IPS |
|
|
Image Classification (I8)
|
99% |
944
176.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1843
30.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1695
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
885
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
1311
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1315
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
412
30.7 IPS |
|
|
Object Detection (F16)
|
100% |
691
51.6 IPS |
|
|
Object Detection (I8)
|
62% |
750
56.0 IPS |
|
|
Face Detection (F32)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (F16)
|
97% |
3314
39.4 IPS |
|
|
Face Detection (I8)
|
86% |
3359
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1360
10.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2633
20.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2588
20.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3390
4.46 IPS |
|
|
Style Transfer (F16)
|
100% |
7822
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
7717
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
446
15.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
409
14.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
407
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
412
592.8 IPS |
|
|
Text Classification (F16)
|
100% |
403
579.7 IPS |
|
|
Text Classification (I8)
|
92% |
621
892.6 IPS |
|
|
Machine Translation (F32)
|
100% |
624
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
609
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
653
12.0 IPS |
