XIAOMI Redmi Book Pro 14 2024
Geekbench AI Score
2894
Single Precision Score
2945
Half Precision Score
7111
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 01:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (Q)
|
100% |
4923
915.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3524
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3496
4.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
12609
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (Q)
|
88% |
4324
346.6 IPS |
|
|
Face Detection (SP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
9758
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4065
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4528
34.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12141
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10607
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10561
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35815
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7474
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3334
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2474
42.6 IPS |
