Xiaomi 24031PN0DC
Geekbench ML Score
1277
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 04:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24031PN0DC |
| Model ID | Xiaomi 24031PN0DC |
| Motherboard | aurora |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
658
123.1 IPS |
|
|
Image Classification (F16)
|
100% |
584
109.2 IPS |
|
|
Image Classification (I8)
|
99% |
556
104.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
817
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
17.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1060
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
2476
3.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
2484
3.01 IPS |
|
|
Object Detection (F32)
|
100% |
492
36.7 IPS |
|
|
Object Detection (F16)
|
100% |
559
41.8 IPS |
|
|
Object Detection (I8)
|
62% |
439
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
2301
27.4 IPS |
|
|
Face Detection (F16)
|
97% |
3119
37.1 IPS |
|
|
Face Detection (I8)
|
86% |
1692
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1837
14.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3732
28.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3732
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6629
8.72 IPS |
|
|
Style Transfer (F16)
|
100% |
10649
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
10634
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
561
20.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1044
37.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1271
45.4 IPS |
|
|
Text Classification (F32)
|
100% |
442
634.8 IPS |
|
|
Text Classification (F16)
|
100% |
448
644.2 IPS |
|
|
Text Classification (I8)
|
92% |
723
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
727
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
715
13.2 IPS |
|
|
Machine Translation (I8)
|
64% |
827
15.2 IPS |
