Xiaomi 24129PN74G
Geekbench AI Score
2470
Single Precision Score
3865
Half Precision Score
3074
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 09:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (Q)
|
100% |
2009
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5807
94.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3976
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12393
14.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
22247
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21745
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
1873
148.6 IPS |
|
|
Object Detection (Q)
|
85% |
1765
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
7986
94.9 IPS |
|
|
Face Detection (Q)
|
97% |
7140
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6391
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8723
67.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6778
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15288
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34342
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33770
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5073
188.0 IPS |
|
|
Text Classification (SP)
|
35% |
67
655.1 IPS |
|
|
Text Classification (HP)
|
35% |
71
641.5 IPS |
|
|
Text Classification (Q)
|
33% |
54
608.0 IPS |
|
|
Machine Translation (SP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
48% |
550
21.1 IPS |
