LENOVO 21KWZC48US
Geekbench ML Score
12738
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 09:05 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 | 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% |
6881
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
6930
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6056
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8891
148.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8835
147.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
8119
135.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
98459
119.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
98951
119.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
81270
98.4 IPS |
|
|
Object Detection (F32)
|
100% |
3928
293.2 IPS |
|
|
Object Detection (F16)
|
100% |
4534
338.5 IPS |
|
|
Object Detection (I8)
|
63% |
4173
311.5 IPS |
|
|
Face Detection (F32)
|
100% |
18222
216.7 IPS |
|
|
Face Detection (F16)
|
100% |
15453
183.7 IPS |
|
|
Face Detection (I8)
|
89% |
12189
144.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
34228
265.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
31690
245.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
27093
210.1 IPS |
|
|
Style Transfer (F32)
|
100% |
134669
177.1 IPS |
|
|
Style Transfer (F16)
|
100% |
135353
178.0 IPS |
|
|
Style Transfer (I8)
|
98% |
124928
164.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23265
830.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24863
887.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20862
745.0 IPS |
|
|
Text Classification (F32)
|
100% |
1835
2.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1817
2.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1263
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3024
55.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2515
46.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1482
27.3 IPS |
