LENOVO 21KWS56V00
Geekbench ML Score
2993
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 11:42 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 | Intel(R) Arc(TM) Pro Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1330
248.8 IPS |
|
|
Image Classification (F16)
|
100% |
1297
242.8 IPS |
|
|
Image Classification (I8)
|
100% |
1217
227.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1574
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1588
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1382
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13695
16.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
14361
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12095
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1234
92.1 IPS |
|
|
Object Detection (F16)
|
100% |
1260
94.1 IPS |
|
|
Object Detection (I8)
|
54% |
1160
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1190
14.2 IPS |
|
|
Face Detection (I8)
|
89% |
1080
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7675
59.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7692
59.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6459
50.1 IPS |
|
|
Style Transfer (F32)
|
100% |
42717
56.2 IPS |
|
|
Style Transfer (F16)
|
100% |
41990
55.2 IPS |
|
|
Style Transfer (I8)
|
98% |
31274
41.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6984
249.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6840
244.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4333
154.7 IPS |
|
|
Text Classification (F32)
|
90% |
721
1.04 KIPS |
|
|
Text Classification (F16)
|
90% |
692
994.2 IPS |
|
|
Text Classification (I8)
|
90% |
542
779.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1807
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1924
35.4 IPS |
|
|
Machine Translation (I8)
|
70% |
980
18.0 IPS |
