TIMI RedmiBook Pro 15
Geekbench AI Score
3164
Single Precision Score
4609
Half Precision Score
7253
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | SoulGB |
| Upload Date | December 23 2025 10:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | TIMI RedmiBook Pro 15 |
| Motherboard | TIMI TM2017 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (Q)
|
99% |
3883
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4619
74.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5869
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7245
8.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
5373
6.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
23860
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
1937
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (Q)
|
90% |
4610
368.6 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
12328
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6734
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11227
86.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15181
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17765
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24097
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54347
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9165
339.4 IPS |
|
|
Text Classification (SP)
|
71% |
928
1.34 KIPS |
|
|
Text Classification (HP)
|
71% |
1285
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1024
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1688
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1686
29.1 IPS |
