Xiaomi 24129PN74C
Geekbench ML Score
702
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 03:21 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
297
55.5 IPS |
|
|
Image Classification (F16)
|
100% |
298
55.8 IPS |
|
|
Image Classification (I8)
|
97% |
774
144.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
383
6.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
386
6.45 IPS |
|
|
Image Segmentation (I8)
|
98% |
753
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
537
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
535
0.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2058
2.49 IPS |
|
|
Object Detection (F32)
|
100% |
307
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
307
22.9 IPS |
|
|
Object Detection (I8)
|
61% |
860
64.2 IPS |
|
|
Face Detection (F32)
|
100% |
804
9.57 IPS |
|
|
Face Detection (F16)
|
100% |
812
9.65 IPS |
|
|
Face Detection (I8)
|
86% |
2347
27.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
679
5.26 IPS |
|
|
Depth Estimation (F16)
|
100% |
691
5.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
1895
14.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1215
1.60 IPS |
|
|
Style Transfer (F16)
|
100% |
1214
1.60 IPS |
|
|
Style Transfer (I8)
|
98% |
3254
4.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
367
13.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
373
13.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1325
47.3 IPS |
|
|
Text Classification (F32)
|
100% |
430
617.6 IPS |
|
|
Text Classification (F16)
|
100% |
430
617.8 IPS |
|
|
Text Classification (I8)
|
92% |
666
956.7 IPS |
|
|
Machine Translation (F32)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (I8)
|
64% |
796
14.7 IPS |
