XIAOMI REDMI Book Pro 14 2025
Geekbench AI Score
4980
Single Precision Score
5338
Half Precision Score
12551
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3249
604.1 IPS |
|
|
Image Classification (HP)
|
100% |
3769
700.9 IPS |
|
|
Image Classification (Q)
|
100% |
9230
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8764
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
22570
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
3365
266.9 IPS |
|
|
Object Detection (Q)
|
88% |
8988
720.5 IPS |
|
|
Face Detection (SP)
|
100% |
7597
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
9564
113.6 IPS |
|
|
Face Detection (Q)
|
100% |
17150
203.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7825
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8434
65.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22210
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19230
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18383
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66066
85.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13471
498.9 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3175
54.7 IPS |
