XIAOMI REDMI Book Pro 14 2025
Geekbench AI Score
10233
Single Precision Score
20793
Half Precision Score
27295
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tanqichou |
| Upload Date | March 05 2025 09:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6418
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
9716
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
14413
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8587
139.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15439
250.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20528
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24885
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
103283
120.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
188072
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10441
828.2 IPS |
|
|
Object Detection (Q)
|
88% |
14615
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
13006
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
24074
286.1 IPS |
|
|
Face Detection (Q)
|
100% |
35575
422.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22747
175.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44066
339.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
63485
493.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61822
79.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171446
220.4 IPS |
|
|
Style Transfer (Q)
|
98% |
255975
330.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9998
369.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29699
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35593
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3292
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4167
71.8 IPS |
