LENOVO 20YTS1GE07
Geekbench AI Score
5094
Single Precision Score
5251
Half Precision Score
13581
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11950H @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20YTS1GE07 |
| Motherboard | LENOVO 20YTS1GE07 |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.9 IPS |
|
|
Image Classification (Q)
|
100% |
8951
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4291
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9740
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6185
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6220
7.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
24695
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3098
245.7 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.4 IPS |
|
|
Object Detection (Q)
|
88% |
9519
763.1 IPS |
|
|
Face Detection (SP)
|
100% |
7511
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
23912
284.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8103
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8240
63.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
24756
192.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17198
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17204
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
65462
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3888
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12968
480.2 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4327
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4874
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4793
82.6 IPS |
