Xiaomi 24129PN74G
Geekbench AI Score
2579
Single Precision Score
2590
Half Precision Score
4294
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 07:58 PM |
| Views | 2 |
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% |
1760
327.2 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (Q)
|
100% |
3477
646.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4489
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4847
5.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
11937
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1575
125.4 IPS |
|
|
Object Detection (HP)
|
98% |
1592
126.6 IPS |
|
|
Object Detection (Q)
|
83% |
3740
302.1 IPS |
|
|
Face Detection (SP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4110
48.8 IPS |
|
|
Face Detection (Q)
|
95% |
8738
104.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4398
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4436
34.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9962
91.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11083
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11122
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23431
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4988
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
573
772.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
