LENOVO 20Y3004LUS
Geekbench AI Score
2281
Single Precision Score
3473
Half Precision Score
5414
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maxloginov |
| Upload Date | November 28 2025 12:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20Y3004LUS |
| Motherboard | LENOVO 20Y3004LUS |
| Power Plan | Balanced |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2306
428.9 IPS |
|
|
Image Classification (Q)
|
99% |
3534
659.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4020
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
2823
3.29 IPS |
|
|
Pose Estimation (Q)
|
97% |
11495
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
98% |
2017
160.5 IPS |
|
|
Object Detection (Q)
|
90% |
3847
307.6 IPS |
|
|
Face Detection (SP)
|
100% |
4213
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
6960
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
9401
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4259
32.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7558
58.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9782
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9639
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15653
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26539
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6015
222.8 IPS |
|
|
Text Classification (SP)
|
71% |
951
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1140
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1189
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1970
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1974
34.0 IPS |
