LENOVO 20YU0036US
Geekbench AI Score
17019
Single Precision Score
28788
Half Precision Score
10781
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | xwang |
| Upload Date | September 30 2025 01:05 AM |
| Views | 4 |
| Notes | P17, ONNX DirectML, A5000 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20YU0036US |
| Motherboard | LENOVO 20YU0036US |
| 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% |
6917
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
10505
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
4780
889.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
12218
198.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18696
303.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9082
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82975
96.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
226825
264.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66968
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
8900
705.9 IPS |
|
|
Object Detection (HP)
|
100% |
15208
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
6450
519.2 IPS |
|
|
Face Detection (SP)
|
100% |
20499
243.6 IPS |
|
|
Face Detection (HP)
|
100% |
34958
415.4 IPS |
|
|
Face Detection (Q)
|
97% |
15999
190.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39997
308.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74198
571.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27958
223.9 IPS |
|
|
Style Transfer (SP)
|
100% |
134780
173.3 IPS |
|
|
Style Transfer (HP)
|
100% |
398636
512.5 IPS |
|
|
Style Transfer (Q)
|
98% |
117776
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27772
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39827
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14717
544.9 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1189
22.3 IPS |
