LENOVO 21KUZBUJCN
Geekbench ML Score
9638
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 07:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUJCN |
| Motherboard | LENOVO 21KUZBUJCN |
| 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% |
4881
913.4 IPS |
|
|
Image Classification (F16)
|
100% |
4772
892.9 IPS |
|
|
Image Classification (I8)
|
100% |
4361
816.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6927
115.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5470
91.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4998
83.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
44830
54.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
57795
70.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
53261
64.5 IPS |
|
|
Object Detection (F32)
|
100% |
4643
346.6 IPS |
|
|
Object Detection (F16)
|
100% |
3790
283.0 IPS |
|
|
Object Detection (I8)
|
61% |
3834
286.2 IPS |
|
|
Face Detection (F32)
|
100% |
13438
159.8 IPS |
|
|
Face Detection (F16)
|
100% |
13439
159.8 IPS |
|
|
Face Detection (I8)
|
89% |
11132
132.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25914
201.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
26040
201.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
16624
128.9 IPS |
|
|
Style Transfer (F32)
|
100% |
103400
136.0 IPS |
|
|
Style Transfer (F16)
|
100% |
76779
101.0 IPS |
|
|
Style Transfer (I8)
|
98% |
86817
114.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20132
719.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16145
576.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11852
423.3 IPS |
|
|
Text Classification (F32)
|
100% |
1466
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1029
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2873
52.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2869
52.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1711
31.5 IPS |
