LENOVO 21KWS56V00
Geekbench ML Score
14383
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 10:52 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% |
6968
1.30 KIPS |
|
|
Image Classification (F16)
|
100% |
6935
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6224
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11258
188.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
10258
171.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
9350
156.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
97973
118.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
99050
119.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85958
104.1 IPS |
|
|
Object Detection (F32)
|
100% |
5128
382.8 IPS |
|
|
Object Detection (F16)
|
100% |
5219
389.7 IPS |
|
|
Object Detection (I8)
|
63% |
4901
365.9 IPS |
|
|
Face Detection (F32)
|
100% |
17978
213.8 IPS |
|
|
Face Detection (F16)
|
100% |
19164
227.9 IPS |
|
|
Face Detection (I8)
|
89% |
15998
190.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
40702
315.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
36156
280.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
30262
234.7 IPS |
|
|
Style Transfer (F32)
|
100% |
141687
186.4 IPS |
|
|
Style Transfer (F16)
|
100% |
143676
189.0 IPS |
|
|
Style Transfer (I8)
|
98% |
130893
172.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27783
992.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28701
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20419
729.2 IPS |
|
|
Text Classification (F32)
|
100% |
2318
3.33 KIPS |
|
|
Text Classification (F16)
|
100% |
2317
3.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1392
2.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
3204
59.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3208
59.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1873
34.5 IPS |
