LENOVO 21KWZC48US
Geekbench ML Score
13424
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:57 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6961
1.30 KIPS |
|
|
Image Classification (F16)
|
100% |
6884
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
6125
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9093
151.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8871
148.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
8265
138.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
99025
119.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
98977
119.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84845
102.7 IPS |
|
|
Object Detection (F32)
|
100% |
4889
365.0 IPS |
|
|
Object Detection (F16)
|
100% |
2827
211.0 IPS |
|
|
Object Detection (I8)
|
63% |
4576
341.6 IPS |
|
|
Face Detection (F32)
|
100% |
17314
205.9 IPS |
|
|
Face Detection (F16)
|
100% |
17749
211.0 IPS |
|
|
Face Detection (I8)
|
89% |
15155
180.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
37616
291.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
33459
259.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
28794
223.3 IPS |
|
|
Style Transfer (F32)
|
100% |
164426
216.3 IPS |
|
|
Style Transfer (F16)
|
100% |
140496
184.8 IPS |
|
|
Style Transfer (I8)
|
98% |
131686
173.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25388
906.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28496
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21463
766.5 IPS |
|
|
Text Classification (F32)
|
100% |
1900
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1857
2.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1304
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3159
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3134
57.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1839
33.8 IPS |
