Xiaomi 24129PN74G
Geekbench AI Score
2399
Single Precision Score
2427
Half Precision Score
3676
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 04:09 PM |
| Views | 3 |
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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (Q)
|
100% |
1959
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2607
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4974
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
11941
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (HP)
|
98% |
1348
107.3 IPS |
|
|
Object Detection (Q)
|
83% |
3257
263.1 IPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
7731
92.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3972
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3892
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8502
77.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9966
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9836
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20630
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4793
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.9 IPS |
|
|
Text Classification (HP)
|
99% |
798
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.3 IPS |
