LENOVO 21KWZC48US
Geekbench ML Score
13680
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC48US |
| Motherboard | LENOVO 21KWZC48US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6610
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
6664
1.25 KIPS |
|
|
Image Classification (I8)
|
100% |
6096
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8909
148.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9021
150.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8386
140.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
98989
119.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
99194
120.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
86668
105.0 IPS |
|
|
Object Detection (F32)
|
100% |
4975
371.4 IPS |
|
|
Object Detection (F16)
|
100% |
4950
369.5 IPS |
|
|
Object Detection (I8)
|
63% |
4452
332.3 IPS |
|
|
Face Detection (F32)
|
100% |
16944
201.5 IPS |
|
|
Face Detection (F16)
|
100% |
17409
207.0 IPS |
|
|
Face Detection (I8)
|
89% |
15374
182.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
37652
292.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36952
286.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
28205
218.7 IPS |
|
|
Style Transfer (F32)
|
100% |
146105
192.2 IPS |
|
|
Style Transfer (F16)
|
100% |
142899
188.0 IPS |
|
|
Style Transfer (I8)
|
98% |
133276
175.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28186
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27309
975.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21273
759.7 IPS |
|
|
Text Classification (F32)
|
100% |
1953
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1910
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1314
1.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
3152
58.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3102
57.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1847
34.0 IPS |
