LENOVO 20Y4S3F500
Geekbench AI Score
2152
Single Precision Score
3157
Half Precision Score
4922
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | m4n |
| Upload Date | February 01 2025 02:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
99% |
3463
645.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
2727
3.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
10154
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (HP)
|
98% |
1908
151.8 IPS |
|
|
Object Detection (Q)
|
90% |
3535
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
6467
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
9190
109.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4137
31.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7162
55.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9802
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8797
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14968
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24614
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5704
211.2 IPS |
|
|
Text Classification (SP)
|
71% |
929
1.34 KIPS |
|
|
Text Classification (HP)
|
71% |
1118
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1144
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1190
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1184
20.4 IPS |
