LENOVO 21KWS56V00
Geekbench ML Score
13748
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 11:16 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% |
6414
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6463
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
5791
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10002
167.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
10119
169.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
8881
148.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
97171
117.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
97659
118.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
84741
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
5150
384.5 IPS |
|
|
Object Detection (F16)
|
100% |
5211
389.0 IPS |
|
|
Object Detection (I8)
|
63% |
4799
358.2 IPS |
|
|
Face Detection (F32)
|
100% |
17362
206.4 IPS |
|
|
Face Detection (F16)
|
100% |
17803
211.7 IPS |
|
|
Face Detection (I8)
|
89% |
15369
182.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35573
275.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36898
286.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
29836
231.4 IPS |
|
|
Style Transfer (F32)
|
100% |
156618
206.0 IPS |
|
|
Style Transfer (F16)
|
100% |
143493
188.8 IPS |
|
|
Style Transfer (I8)
|
98% |
128435
168.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26588
949.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24901
889.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18272
652.5 IPS |
|
|
Text Classification (F32)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1935
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1296
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3179
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3172
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1839
33.9 IPS |
