Xiaomi 24129PN74C
Geekbench AI Score
2402
Single Precision Score
3665
Half Precision Score
3104
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1439
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
100% |
2168
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3271
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4803
77.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4752
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11645
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
20881
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20390
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
1830
145.1 IPS |
|
|
Object Detection (Q)
|
85% |
1759
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8109
96.4 IPS |
|
|
Face Detection (Q)
|
97% |
7124
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6006
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8315
64.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6445
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14708
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32355
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31845
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3194
118.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4823
178.7 IPS |
|
|
Text Classification (SP)
|
35% |
68
663.0 IPS |
|
|
Text Classification (HP)
|
35% |
68
618.2 IPS |
|
|
Text Classification (Q)
|
33% |
55
612.3 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
48% |
581
22.3 IPS |
