LENOVO 21KWZC45US
Geekbench ML Score
2617
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 03:02 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% |
1217
227.8 IPS |
|
|
Image Classification (F16)
|
100% |
1267
237.1 IPS |
|
|
Image Classification (I8)
|
100% |
1049
196.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1290
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12258
14.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11773
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10673
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1062
79.2 IPS |
|
|
Object Detection (F16)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (I8)
|
54% |
1021
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
961
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
945
11.2 IPS |
|
|
Face Detection (I8)
|
89% |
875
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7092
55.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7174
55.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
5757
44.6 IPS |
|
|
Style Transfer (F32)
|
100% |
36256
47.7 IPS |
|
|
Style Transfer (F16)
|
100% |
35486
46.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26104
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5754
205.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6326
225.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4137
147.8 IPS |
|
|
Text Classification (F32)
|
90% |
727
1.04 KIPS |
|
|
Text Classification (F16)
|
90% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
546
784.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1422
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1448
26.6 IPS |
|
|
Machine Translation (I8)
|
70% |
782
14.4 IPS |
