LENOVO 21KWZC48US
Geekbench ML Score
2755
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 06:01 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% |
1341
251.0 IPS |
|
|
Image Classification (F16)
|
100% |
1344
251.5 IPS |
|
|
Image Classification (I8)
|
100% |
1162
217.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1166
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12026
14.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
11806
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10292
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (F16)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (I8)
|
54% |
1076
80.4 IPS |
|
|
Face Detection (F32)
|
100% |
963
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
985
11.7 IPS |
|
|
Face Detection (I8)
|
89% |
891
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7604
59.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7549
58.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6068
47.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37471
49.3 IPS |
|
|
Style Transfer (F16)
|
100% |
37482
49.3 IPS |
|
|
Style Transfer (I8)
|
98% |
27730
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7461
266.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7045
251.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4728
168.9 IPS |
|
|
Text Classification (F32)
|
90% |
763
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
780
1.12 KIPS |
|
|
Text Classification (I8)
|
90% |
573
823.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1484
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
70% |
825
15.2 IPS |
