LENOVO 20Y3004LUS
Geekbench AI Score
2186
Single Precision Score
997
Half Precision Score
5236
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maxloginov |
| Upload Date | November 28 2025 12:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11950H |
| 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% |
1643
305.5 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
99% |
4851
904.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
5414
88.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
13896
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
4774
383.7 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
6786
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4126
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10570
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7337
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6465
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
14929
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3813
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.2 IPS |
|
|
Text Classification (Q)
|
97% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
65% |
2319
46.6 IPS |
