XIAOMI Redmi Book Pro 14 2024
Geekbench AI Score
3256
Single Precision Score
1289
Half Precision Score
5807
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 01:29 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | XIAOMI Redmi Book Pro 14 2024 |
| Motherboard | XIAOMI TM2307 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2477
460.7 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
5342
996.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3106
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5325
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
18813
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
5067
407.3 IPS |
|
|
Face Detection (SP)
|
100% |
6527
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
8665
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6674
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1830
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13212
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12485
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8167
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18208
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2743
55.1 IPS |
