LENOVO 20YU002MUS
Geekbench AI Score
16435
Single Precision Score
26543
Half Precision Score
10972
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 03 2025 06:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 20YU002MUS |
| Motherboard | LENOVO 20YU002MUS |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11855M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6590
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9545
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
4902
911.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11141
180.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16789
272.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8853
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
85752
100.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
250452
292.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
69817
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (HP)
|
100% |
13369
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
6394
514.7 IPS |
|
|
Face Detection (SP)
|
100% |
20116
239.0 IPS |
|
|
Face Detection (HP)
|
100% |
31429
373.4 IPS |
|
|
Face Detection (Q)
|
97% |
15607
186.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42434
326.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75658
582.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
28037
224.4 IPS |
|
|
Style Transfer (SP)
|
100% |
147332
189.4 IPS |
|
|
Style Transfer (HP)
|
100% |
370534
476.3 IPS |
|
|
Style Transfer (Q)
|
98% |
116243
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26188
967.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36551
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15545
575.6 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2791
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1367
25.6 IPS |
