Xiaomi 24129PN74G
Geekbench AI Score
2374
Single Precision Score
3686
Half Precision Score
3081
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 08:21 PM |
| Views | 2 |
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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (Q)
|
100% |
2063
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5146
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4590
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11640
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
20873
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20525
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
99% |
1811
143.7 IPS |
|
|
Object Detection (Q)
|
85% |
1789
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
97% |
7415
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8477
65.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6430
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14842
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32213
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31797
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3201
118.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4911
182.0 IPS |
|
|
Text Classification (SP)
|
35% |
63
614.5 IPS |
|
|
Text Classification (HP)
|
35% |
66
597.3 IPS |
|
|
Text Classification (Q)
|
33% |
54
603.7 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (Q)
|
48% |
552
21.2 IPS |
