LENOVO 21KWZC48US
Geekbench ML Score
2666
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 05:55 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% |
1329
248.7 IPS |
|
|
Image Classification (F16)
|
100% |
1367
255.7 IPS |
|
|
Image Classification (I8)
|
100% |
1180
220.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1376
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
11543
14.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
11575
14.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10230
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1198
89.5 IPS |
|
|
Object Detection (F16)
|
100% |
1230
91.8 IPS |
|
|
Object Detection (I8)
|
54% |
1089
81.3 IPS |
|
|
Face Detection (F32)
|
100% |
943
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.8 IPS |
|
|
Face Detection (I8)
|
89% |
892
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7374
57.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7365
57.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6206
48.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39052
51.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37912
49.9 IPS |
|
|
Style Transfer (I8)
|
98% |
28184
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6900
246.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7448
266.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4558
162.8 IPS |
|
|
Text Classification (F32)
|
90% |
577
829.1 IPS |
|
|
Text Classification (F16)
|
90% |
503
723.0 IPS |
|
|
Text Classification (I8)
|
90% |
446
641.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1441
26.5 IPS |
|
|
Machine Translation (I8)
|
70% |
805
14.8 IPS |
