LENOVO 21KWS56V00
Geekbench ML Score
3048
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 11:29 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% |
1268
237.4 IPS |
|
|
Image Classification (F16)
|
100% |
1288
241.1 IPS |
|
|
Image Classification (I8)
|
100% |
1149
215.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1587
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1587
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1387
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
13776
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
14514
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12133
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1283
95.8 IPS |
|
|
Object Detection (F16)
|
100% |
1264
94.4 IPS |
|
|
Object Detection (I8)
|
54% |
1133
84.6 IPS |
|
|
Face Detection (F32)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (F16)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
1096
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7907
61.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7884
61.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6751
52.4 IPS |
|
|
Style Transfer (F32)
|
100% |
42229
55.5 IPS |
|
|
Style Transfer (F16)
|
100% |
41079
54.0 IPS |
|
|
Style Transfer (I8)
|
98% |
31870
41.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6877
245.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7612
271.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4482
160.1 IPS |
|
|
Text Classification (F32)
|
90% |
783
1.13 KIPS |
|
|
Text Classification (F16)
|
90% |
736
1.06 KIPS |
|
|
Text Classification (I8)
|
90% |
572
821.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1006
18.5 IPS |
