Xiaomi 24129PN74G
Geekbench AI Score
2658
Single Precision Score
2658
Half Precision Score
4297
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:03 AM |
| Views | 1 |
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% |
1763
327.8 IPS |
|
|
Image Classification (HP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (Q)
|
100% |
2572
478.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4499
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5140
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5114
5.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
12469
14.8 IPS |
|
|
Object Detection (SP)
|
98% |
1614
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1605
127.7 IPS |
|
|
Object Detection (Q)
|
83% |
3740
302.1 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (Q)
|
95% |
8830
105.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4468
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4465
34.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10119
92.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11422
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11396
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24569
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5103
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
670
904.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
