LENOVO 21KU0000CD
Geekbench ML Score
9441
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 10:51 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 | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4730
885.2 IPS |
|
|
Image Classification (F16)
|
100% |
4720
883.2 IPS |
|
|
Image Classification (I8)
|
100% |
4278
800.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5822
97.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5707
95.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
5211
87.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
44665
54.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
53461
64.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
39731
48.1 IPS |
|
|
Object Detection (F32)
|
100% |
3799
283.6 IPS |
|
|
Object Detection (F16)
|
100% |
3792
283.1 IPS |
|
|
Object Detection (I8)
|
61% |
3921
292.7 IPS |
|
|
Face Detection (F32)
|
100% |
13159
156.5 IPS |
|
|
Face Detection (F16)
|
100% |
13144
156.3 IPS |
|
|
Face Detection (I8)
|
89% |
10682
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
25287
196.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
18814
145.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
22673
175.8 IPS |
|
|
Style Transfer (F32)
|
100% |
105366
138.6 IPS |
|
|
Style Transfer (F16)
|
100% |
86025
113.2 IPS |
|
|
Style Transfer (I8)
|
98% |
78588
103.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16263
580.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16343
583.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11885
424.5 IPS |
|
|
Text Classification (F32)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1544
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1054
1.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
3202
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3123
57.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1809
33.3 IPS |
