LENOVO 20Y4S3F500
Geekbench AI Score
1532
Single Precision Score
1598
Half Precision Score
1050
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | m4n |
| Upload Date | February 01 2025 02:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
664
123.4 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4473
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5117
5.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
3231
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
98% |
628
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
624
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1120
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2814
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3048
23.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2093
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9808
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13168
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7380
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.8 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.6 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
348
6.53 IPS |
