XIAOMI REDMI Book Pro 14 2025
Geekbench AI Score
5162
Single Precision Score
9898
Half Precision Score
15487
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | XIAOMI REDMI Book Pro 14 2025 |
| Motherboard | XIAOMI TM2411 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3387
630.0 IPS |
|
|
Image Classification (HP)
|
100% |
6857
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9550
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3929
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3560
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6950
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
34646
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
73994
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
2773
220.0 IPS |
|
|
Object Detection (HP)
|
100% |
6041
479.1 IPS |
|
|
Object Detection (Q)
|
88% |
10159
814.4 IPS |
|
|
Face Detection (SP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
17470
207.6 IPS |
|
|
Face Detection (Q)
|
100% |
32675
388.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19241
148.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36543
284.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20498
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55394
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
99924
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4015
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15987
590.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30828
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2060
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4101
70.6 IPS |
