Xiaomi 24129PN74C
Geekbench AI Score
488
Single Precision Score
486
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ichigo |
| Upload Date | May 20 2025 05:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
99% |
725
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1955
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
87% |
838
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
756
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (Q)
|
97% |
1678
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
643
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1491
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1046
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2982
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1195
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.1 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.5 IPS |
|
|
Text Classification (Q)
|
91% |
669
898.7 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
537
13.1 IPS |
