LENOVO 21KWZC48US
Geekbench ML Score
13747
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 06:20 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% |
6424
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6945
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6092
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9280
155.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9054
151.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
8292
138.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
98391
119.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
97638
118.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85768
103.9 IPS |
|
|
Object Detection (F32)
|
100% |
4637
346.2 IPS |
|
|
Object Detection (F16)
|
100% |
4741
354.0 IPS |
|
|
Object Detection (I8)
|
63% |
4409
329.2 IPS |
|
|
Face Detection (F32)
|
100% |
17737
210.9 IPS |
|
|
Face Detection (F16)
|
100% |
18276
217.3 IPS |
|
|
Face Detection (I8)
|
89% |
15066
179.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
37011
287.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
37895
293.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
32249
250.1 IPS |
|
|
Style Transfer (F32)
|
100% |
165625
217.9 IPS |
|
|
Style Transfer (F16)
|
100% |
141309
185.9 IPS |
|
|
Style Transfer (I8)
|
98% |
133460
175.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28059
1.00 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27626
986.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20177
720.6 IPS |
|
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1963
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1302
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3141
57.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3162
58.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1837
33.8 IPS |
