LENOVO 21KWS56V00
Geekbench ML Score
14544
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 10:56 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS56V00 |
| Motherboard | LENOVO 21KWS56V00 |
| 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% |
7000
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
7185
1.34 KIPS |
|
|
Image Classification (I8)
|
100% |
6343
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11325
189.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8514
142.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
8974
149.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
99107
120.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
97956
118.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
85762
103.9 IPS |
|
|
Object Detection (F32)
|
100% |
5390
402.4 IPS |
|
|
Object Detection (F16)
|
100% |
5340
398.6 IPS |
|
|
Object Detection (I8)
|
63% |
4949
369.5 IPS |
|
|
Face Detection (F32)
|
100% |
17896
212.8 IPS |
|
|
Face Detection (F16)
|
100% |
18888
224.6 IPS |
|
|
Face Detection (I8)
|
89% |
14926
177.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
39838
308.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40723
315.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
34507
267.6 IPS |
|
|
Style Transfer (F32)
|
100% |
163415
215.0 IPS |
|
|
Style Transfer (F16)
|
100% |
146868
193.2 IPS |
|
|
Style Transfer (I8)
|
98% |
132405
174.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28939
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27360
977.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21546
769.5 IPS |
|
|
Text Classification (F32)
|
100% |
2366
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2347
3.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1411
2.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
3253
59.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3197
58.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1862
34.3 IPS |
