Xiaomi 24129PN74C
Geekbench ML Score
1357
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 08:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74C |
| Model ID | Xiaomi 24129PN74C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
803
150.3 IPS |
|
|
Image Classification (F16)
|
100% |
829
155.1 IPS |
|
|
Image Classification (I8)
|
97% |
1080
202.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1091
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1033
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1672
2.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
1662
2.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
6208
7.52 IPS |
|
|
Object Detection (F32)
|
100% |
811
60.6 IPS |
|
|
Object Detection (F16)
|
100% |
826
61.6 IPS |
|
|
Object Detection (I8)
|
61% |
1214
90.6 IPS |
|
|
Face Detection (F32)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (I8)
|
86% |
2213
26.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1766
13.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1648
12.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2429
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2874
3.78 IPS |
|
|
Style Transfer (F16)
|
100% |
2634
3.46 IPS |
|
|
Style Transfer (I8)
|
98% |
5921
7.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
829
29.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
839
29.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2242
80.1 IPS |
|
|
Text Classification (F32)
|
100% |
637
915.4 IPS |
|
|
Text Classification (F16)
|
100% |
637
915.5 IPS |
|
|
Text Classification (I8)
|
92% |
423
607.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1411
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (I8)
|
64% |
566
10.4 IPS |
