LENOVO 20Y4S3F500
Geekbench AI Score
4257
Single Precision Score
4278
Half Precision Score
10987
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | m4n |
| Upload Date | February 01 2025 02:31 PM |
| Views | 15 |
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 Professionnel (64-bit) |
| Model | LENOVO 20Y4S3F500 |
| Motherboard | LENOVO 20Y4S3F500 |
| Power Plan | Utilisation normale |
| 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% |
2766
514.3 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (Q)
|
100% |
7628
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3348
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7318
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4830
5.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
19853
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (Q)
|
88% |
7713
618.3 IPS |
|
|
Face Detection (SP)
|
100% |
6303
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
17200
204.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6376
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6369
49.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
19376
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13357
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13636
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52322
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3032
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10870
402.6 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4331
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3656
63.0 IPS |
