Xiaomi 24129PN74G
Geekbench AI Score
2290
Single Precision Score
2517
Half Precision Score
4096
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 21 2026 09:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1448
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
1778
330.7 IPS |
|
|
Image Classification (Q)
|
100% |
3465
644.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4396
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
10279
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1405
111.8 IPS |
|
|
Object Detection (HP)
|
98% |
1455
115.7 IPS |
|
|
Object Detection (Q)
|
83% |
2975
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
8309
99.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4016
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4229
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9597
87.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9884
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9596
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20479
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4457
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
