LENOVO 21KWZC48US
Geekbench ML Score
2747
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 05:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC48US |
| Motherboard | LENOVO 21KWZC48US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1368
256.0 IPS |
|
|
Image Classification (F16)
|
100% |
1378
257.9 IPS |
|
|
Image Classification (I8)
|
100% |
1216
227.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1161
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12010
14.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
12154
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10693
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1217
90.9 IPS |
|
|
Object Detection (F16)
|
100% |
1239
92.5 IPS |
|
|
Object Detection (I8)
|
54% |
1093
81.6 IPS |
|
|
Face Detection (F32)
|
100% |
980
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
987
11.7 IPS |
|
|
Face Detection (I8)
|
89% |
900
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7573
58.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7584
58.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
5971
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
39654
52.2 IPS |
|
|
Style Transfer (F16)
|
100% |
38828
51.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28219
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6760
241.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7108
253.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4600
164.3 IPS |
|
|
Text Classification (F32)
|
90% |
684
983.4 IPS |
|
|
Text Classification (F16)
|
90% |
701
1.01 KIPS |
|
|
Text Classification (I8)
|
90% |
489
702.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1431
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
70% |
823
15.1 IPS |
