LENOVO 21KWZC45US
Geekbench ML Score
2484
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 11:43 PM |
| 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 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1257
235.1 IPS |
|
|
Image Classification (F16)
|
100% |
1153
215.8 IPS |
|
|
Image Classification (I8)
|
100% |
1038
194.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1368
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12337
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11630
14.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10196
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1056
78.9 IPS |
|
|
Object Detection (F16)
|
100% |
1074
80.2 IPS |
|
|
Object Detection (I8)
|
54% |
951
71.0 IPS |
|
|
Face Detection (F32)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (I8)
|
89% |
957
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6890
53.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7115
55.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
5987
46.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36707
48.3 IPS |
|
|
Style Transfer (F16)
|
100% |
37495
49.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28077
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5474
195.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5472
195.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3921
140.0 IPS |
|
|
Text Classification (F32)
|
90% |
420
604.0 IPS |
|
|
Text Classification (F16)
|
90% |
472
677.8 IPS |
|
|
Text Classification (I8)
|
90% |
392
563.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (I8)
|
70% |
754
13.9 IPS |
