Xiaomi 24129PN74G
Geekbench AI Score
936
Single Precision Score
1640
Half Precision Score
1596
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 08:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74G |
| Model ID | Xiaomi 24129PN74G |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.5 IPS |
|
|
Image Classification (Q)
|
99% |
1021
190.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1196
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1478
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2498
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (Q)
|
86% |
1179
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4875
57.9 IPS |
|
|
Face Detection (Q)
|
97% |
4763
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1442
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4100
31.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3381
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5165
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10984
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10906
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1902
70.5 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (HP)
|
100% |
186
247.9 IPS |
|
|
Text Classification (Q)
|
91% |
307
412.7 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.13 IPS |
