LENOVO 21KWZC45US
Geekbench ML Score
2735
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 01:20 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% |
1232
230.5 IPS |
|
|
Image Classification (F16)
|
100% |
1258
235.4 IPS |
|
|
Image Classification (I8)
|
100% |
1098
205.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1381
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1222
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12974
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13161
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10672
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1187
88.6 IPS |
|
|
Object Detection (F16)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (I8)
|
54% |
1061
79.2 IPS |
|
|
Face Detection (F32)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (I8)
|
89% |
986
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7054
54.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7434
57.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
6249
48.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37619
49.5 IPS |
|
|
Style Transfer (F16)
|
100% |
36855
48.5 IPS |
|
|
Style Transfer (I8)
|
98% |
28200
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6446
230.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6229
222.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3963
141.5 IPS |
|
|
Text Classification (F32)
|
90% |
747
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
752
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
554
795.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1440
26.5 IPS |
|
|
Machine Translation (I8)
|
70% |
776
14.3 IPS |
