LENOVO 20Y4S1HV04
Geekbench AI Score
1484
Single Precision Score
255
Half Precision Score
2524
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ce107 |
| Upload Date | January 31 2025 09:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | LENOVO 20Y4S1HV04 |
| Motherboard | LENOVO 20Y4S1HV04 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
48
8.91 IPS |
|
|
Image Classification (Q)
|
97% |
2373
442.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1508
1.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
10668
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.69 IPS |
|
|
Object Detection (Q)
|
86% |
2991
240.4 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (Q)
|
97% |
7598
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4152
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
7944
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8619
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5893
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
9399
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1130
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.2 IPS |
|
|
Text Classification (HP)
|
100% |
146
194.5 IPS |
|
|
Text Classification (Q)
|
97% |
360
482.2 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.04 IPS |
|
|
Machine Translation (Q)
|
65% |
720
14.5 IPS |
