LENOVO 21KWZC48US
Geekbench ML Score
13744
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 12:25 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% |
6594
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
6894
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
6131
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8880
148.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8969
149.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8305
138.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
99038
119.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
98038
118.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
85625
103.7 IPS |
|
|
Object Detection (F32)
|
100% |
4889
365.0 IPS |
|
|
Object Detection (F16)
|
100% |
4842
361.5 IPS |
|
|
Object Detection (I8)
|
63% |
4522
337.6 IPS |
|
|
Face Detection (F32)
|
100% |
18178
216.1 IPS |
|
|
Face Detection (F16)
|
100% |
18309
217.7 IPS |
|
|
Face Detection (I8)
|
89% |
15057
179.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
37722
292.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
33700
261.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
31956
247.8 IPS |
|
|
Style Transfer (F32)
|
100% |
144112
189.6 IPS |
|
|
Style Transfer (F16)
|
100% |
146498
192.7 IPS |
|
|
Style Transfer (I8)
|
98% |
133380
175.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28583
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26977
963.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21463
766.5 IPS |
|
|
Text Classification (F32)
|
100% |
1962
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1883
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1302
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3191
58.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3137
57.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1858
34.2 IPS |
