Xiaomi 24129PN74C
Geekbench AI Score
2409
Single Precision Score
2513
Half Precision Score
3525
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74C |
| Model ID | Xiaomi 24129PN74C |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1684
313.2 IPS |
|
|
Image Classification (HP)
|
100% |
1738
323.3 IPS |
|
|
Image Classification (Q)
|
100% |
1914
356.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2756
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5066
5.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
11682
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1611
128.2 IPS |
|
|
Object Detection (HP)
|
98% |
1626
129.4 IPS |
|
|
Object Detection (Q)
|
83% |
1949
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (Q)
|
95% |
8822
105.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4393
33.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8259
75.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11137
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9898
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19717
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4763
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
790
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
