LENOVO 21KWZC45US
Geekbench ML Score
2718
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 02:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC45US |
| Motherboard | LENOVO 21KWZC45US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1219
228.2 IPS |
|
|
Image Classification (F16)
|
100% |
1215
227.3 IPS |
|
|
Image Classification (I8)
|
100% |
1126
210.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1318
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1220
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12113
14.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13106
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10697
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1171
87.4 IPS |
|
|
Object Detection (F16)
|
100% |
1087
81.1 IPS |
|
|
Object Detection (I8)
|
54% |
995
74.3 IPS |
|
|
Face Detection (F32)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (I8)
|
89% |
982
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7136
55.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7235
56.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
5677
44.0 IPS |
|
|
Style Transfer (F32)
|
100% |
37203
48.9 IPS |
|
|
Style Transfer (F16)
|
100% |
38924
51.2 IPS |
|
|
Style Transfer (I8)
|
98% |
28683
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6893
246.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5879
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4812
171.8 IPS |
|
|
Text Classification (F32)
|
90% |
729
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
746
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
504
723.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1462
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
70% |
800
14.7 IPS |
