Xiaomi 24129PN74C
Geekbench ML Score
1384
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 04:04 PM |
| 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% |
799
149.5 IPS |
|
|
Image Classification (F16)
|
100% |
859
160.8 IPS |
|
|
Image Classification (I8)
|
97% |
1259
235.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1196
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1167
19.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1337
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1729
2.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
1697
2.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
6003
7.27 IPS |
|
|
Object Detection (F32)
|
100% |
783
58.5 IPS |
|
|
Object Detection (F16)
|
100% |
773
57.7 IPS |
|
|
Object Detection (I8)
|
61% |
1253
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1956
23.3 IPS |
|
|
Face Detection (I8)
|
86% |
2207
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1335
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1482
11.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2638
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2796
3.68 IPS |
|
|
Style Transfer (F16)
|
100% |
2860
3.76 IPS |
|
|
Style Transfer (I8)
|
98% |
6082
8.00 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
855
30.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
914
32.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2538
90.6 IPS |
|
|
Text Classification (F32)
|
100% |
645
927.3 IPS |
|
|
Text Classification (F16)
|
100% |
694
997.4 IPS |
|
|
Text Classification (I8)
|
92% |
440
631.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1430
26.3 IPS |
|
|
Machine Translation (I8)
|
64% |
463
8.52 IPS |
