LENOVO 21KWZC48US
Geekbench ML Score
13726
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:21 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% |
6775
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6896
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
6118
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8673
144.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8987
150.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8285
138.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
97907
118.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
99494
120.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
84680
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
4853
362.3 IPS |
|
|
Object Detection (F16)
|
100% |
4796
358.1 IPS |
|
|
Object Detection (I8)
|
63% |
4384
327.3 IPS |
|
|
Face Detection (F32)
|
100% |
18428
219.1 IPS |
|
|
Face Detection (F16)
|
100% |
17662
210.0 IPS |
|
|
Face Detection (I8)
|
89% |
14867
176.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
37126
287.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
37526
291.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
28630
222.0 IPS |
|
|
Style Transfer (F32)
|
100% |
161031
211.8 IPS |
|
|
Style Transfer (F16)
|
100% |
143950
189.4 IPS |
|
|
Style Transfer (I8)
|
98% |
133674
175.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27584
985.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28864
1.03 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21144
755.1 IPS |
|
|
Text Classification (F32)
|
100% |
1894
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (I8)
|
98% |
1311
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3155
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3092
56.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1818
33.5 IPS |
