XIAOMI REDMI Book Pro 14 2025
Geekbench AI Score
4508
Single Precision Score
1968
Half Precision Score
8484
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| 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% |
3602
669.8 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.8 IPS |
|
|
Image Classification (Q)
|
99% |
8113
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10500
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7463
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5600
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
24988
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
86% |
6897
554.3 IPS |
|
|
Face Detection (SP)
|
100% |
9312
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
10588
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9680
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17370
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16942
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13645
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25170
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3145
116.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4717
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3486
70.0 IPS |
