LENOVO 21KU0000CD
Geekbench ML Score
3075
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 11:41 AM |
| Views | 3 |
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% |
1448
270.9 IPS |
|
|
Image Classification (F16)
|
100% |
1457
272.6 IPS |
|
|
Image Classification (I8)
|
100% |
1295
242.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1492
24.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1327
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
13639
16.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
13656
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11769
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
1351
100.9 IPS |
|
|
Object Detection (I8)
|
54% |
1200
89.6 IPS |
|
|
Face Detection (F32)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (F16)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (I8)
|
89% |
1038
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8247
64.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8214
63.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6780
52.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40609
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
40678
53.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30917
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7490
267.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7583
270.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5236
187.0 IPS |
|
|
Text Classification (F32)
|
90% |
864
1.24 KIPS |
|
|
Text Classification (F16)
|
90% |
859
1.23 KIPS |
|
|
Text Classification (I8)
|
90% |
628
902.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
70% |
946
17.4 IPS |
