LENOVO 21KWZC48US
Geekbench ML Score
13797
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 06:31 AM |
| Views | 3 |
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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6921
1.30 KIPS |
|
|
Image Classification (F16)
|
100% |
6921
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6176
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9509
158.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8990
150.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8191
136.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
98250
119.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
98759
119.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84035
101.8 IPS |
|
|
Object Detection (F32)
|
100% |
4800
358.3 IPS |
|
|
Object Detection (F16)
|
100% |
4814
359.4 IPS |
|
|
Object Detection (I8)
|
63% |
4777
356.6 IPS |
|
|
Face Detection (F32)
|
100% |
17403
206.9 IPS |
|
|
Face Detection (F16)
|
100% |
17958
213.5 IPS |
|
|
Face Detection (I8)
|
89% |
14913
177.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
37625
291.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33819
262.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
32288
250.4 IPS |
|
|
Style Transfer (F32)
|
100% |
144005
189.4 IPS |
|
|
Style Transfer (F16)
|
100% |
144018
189.4 IPS |
|
|
Style Transfer (I8)
|
98% |
134177
176.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28517
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28490
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21299
760.7 IPS |
|
|
Text Classification (F32)
|
100% |
1965
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1913
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1334
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3157
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3171
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1812
33.4 IPS |
