LENOVO 21KYZBZCUS
Geekbench ML Score
11445
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 09:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KYZBZCUS |
| Motherboard | LENOVO 21KYZBZCUS |
| 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5542
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5775
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5133
960.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
8676
144.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7598
126.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7013
117.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
73619
89.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
75164
91.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64938
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (F16)
|
100% |
4386
327.4 IPS |
|
|
Object Detection (I8)
|
63% |
3776
281.9 IPS |
|
|
Face Detection (F32)
|
100% |
14915
177.3 IPS |
|
|
Face Detection (F16)
|
100% |
15688
186.5 IPS |
|
|
Face Detection (I8)
|
89% |
13112
155.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
29418
228.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30390
235.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
27407
212.5 IPS |
|
|
Style Transfer (F32)
|
100% |
136884
180.1 IPS |
|
|
Style Transfer (F16)
|
100% |
111093
146.1 IPS |
|
|
Style Transfer (I8)
|
98% |
100481
132.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20937
747.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21591
771.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16105
575.1 IPS |
|
|
Text Classification (F32)
|
100% |
1599
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1438
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1033
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2977
54.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2967
54.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1674
30.8 IPS |
