LENOVO 21KU0000CD
Geekbench ML Score
9302
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 11:33 AM |
| Views | 2 |
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 | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4589
858.7 IPS |
|
|
Image Classification (F16)
|
100% |
4664
872.7 IPS |
|
|
Image Classification (I8)
|
100% |
4204
786.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7287
121.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5694
95.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
5156
86.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
44703
54.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
44965
54.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
47744
57.8 IPS |
|
|
Object Detection (F32)
|
100% |
3718
277.5 IPS |
|
|
Object Detection (F16)
|
100% |
3717
277.5 IPS |
|
|
Object Detection (I8)
|
61% |
3833
286.2 IPS |
|
|
Face Detection (F32)
|
100% |
12679
150.8 IPS |
|
|
Face Detection (F16)
|
100% |
13014
154.7 IPS |
|
|
Face Detection (I8)
|
89% |
10435
124.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
24683
191.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
24093
186.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
21712
168.4 IPS |
|
|
Style Transfer (F32)
|
100% |
72408
95.2 IPS |
|
|
Style Transfer (F16)
|
100% |
76227
100.3 IPS |
|
|
Style Transfer (I8)
|
98% |
76000
100.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19186
685.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15475
552.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11787
420.9 IPS |
|
|
Text Classification (F32)
|
100% |
1439
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1459
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1003
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
3098
57.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3079
56.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1779
32.7 IPS |
