LENOVO 21KWZC45US
Geekbench ML Score
2739
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 01:16 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1285
240.4 IPS |
|
|
Image Classification (F16)
|
100% |
1298
242.9 IPS |
|
|
Image Classification (I8)
|
100% |
1130
211.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1218
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12932
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13071
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11033
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1134
84.7 IPS |
|
|
Object Detection (F16)
|
100% |
1138
85.0 IPS |
|
|
Object Detection (I8)
|
54% |
1008
75.2 IPS |
|
|
Face Detection (F32)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (I8)
|
89% |
977
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7233
56.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7425
57.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
5946
46.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38200
50.2 IPS |
|
|
Style Transfer (F16)
|
100% |
38868
51.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28617
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6018
214.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6056
216.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4407
157.4 IPS |
|
|
Text Classification (F32)
|
90% |
734
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
693
995.9 IPS |
|
|
Text Classification (I8)
|
90% |
557
800.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1450
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1473
27.1 IPS |
|
|
Machine Translation (I8)
|
70% |
802
14.8 IPS |
