LENOVO 21KWS56V00
Geekbench ML Score
14189
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 10:41 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% |
6878
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
6627
1.24 KIPS |
|
|
Image Classification (I8)
|
100% |
5705
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8816
147.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
10180
170.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
9588
160.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
98974
119.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
100145
121.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
87092
105.5 IPS |
|
|
Object Detection (F32)
|
100% |
5303
395.9 IPS |
|
|
Object Detection (F16)
|
100% |
5351
399.5 IPS |
|
|
Object Detection (I8)
|
63% |
4788
357.5 IPS |
|
|
Face Detection (F32)
|
100% |
17846
212.2 IPS |
|
|
Face Detection (F16)
|
100% |
19054
226.6 IPS |
|
|
Face Detection (I8)
|
89% |
15840
188.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
40713
315.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35710
276.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
30586
237.2 IPS |
|
|
Style Transfer (F32)
|
100% |
159303
209.5 IPS |
|
|
Style Transfer (F16)
|
100% |
144323
189.8 IPS |
|
|
Style Transfer (I8)
|
98% |
130840
172.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27050
966.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27120
968.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20033
715.4 IPS |
|
|
Text Classification (F32)
|
100% |
2312
3.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2142
3.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1354
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
3238
59.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3228
59.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1861
34.2 IPS |
