LENOVO 20Y4S3F500
Geekbench AI Score
2959
Single Precision Score
1233
Half Precision Score
4575
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | m4n |
| Upload Date | February 01 2025 02:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11950H |
| 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% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
99% |
5797
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2069
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
15440
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
4229
339.9 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1241
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
7279
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6223
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1745
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12280
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10885
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17146
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3532
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
674
900.0 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
65% |
2356
47.3 IPS |
