LENOVO 21KU0000CD
Geekbench ML Score
2995
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 12:08 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KU0000CD |
| Motherboard | LENOVO 21KU0000CD |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1395
261.1 IPS |
|
|
Image Classification (F16)
|
100% |
1412
264.2 IPS |
|
|
Image Classification (I8)
|
100% |
1225
229.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1301
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13517
16.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
13514
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11771
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1277
95.4 IPS |
|
|
Object Detection (F16)
|
100% |
1283
95.8 IPS |
|
|
Object Detection (I8)
|
54% |
1151
86.0 IPS |
|
|
Face Detection (F32)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
1028
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8038
62.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8113
62.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
6733
52.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39088
51.4 IPS |
|
|
Style Transfer (F16)
|
100% |
39192
51.6 IPS |
|
|
Style Transfer (I8)
|
98% |
30909
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6876
245.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7174
256.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4793
171.2 IPS |
|
|
Text Classification (F32)
|
90% |
833
1.20 KIPS |
|
|
Text Classification (F16)
|
90% |
840
1.21 KIPS |
|
|
Text Classification (I8)
|
90% |
617
887.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
70% |
943
17.3 IPS |
