Xiaomi 24129PN74G
Geekbench AI Score
2342
Single Precision Score
2436
Half Precision Score
3644
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 08:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1891
351.7 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (Q)
|
100% |
2279
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2750
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2942
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4650
5.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
11947
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1404
111.8 IPS |
|
|
Object Detection (HP)
|
98% |
1387
110.3 IPS |
|
|
Object Detection (Q)
|
83% |
2402
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (Q)
|
95% |
7567
90.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3925
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3918
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8246
75.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9855
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9991
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20568
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4804
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
813
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
