LENOVO 21KYZBZCUS
Geekbench ML Score
11515
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 06:29 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5505
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5821
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
5069
948.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8810
147.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7860
131.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7185
120.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
75270
91.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
74453
90.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65752
79.6 IPS |
|
|
Object Detection (F32)
|
100% |
4362
325.7 IPS |
|
|
Object Detection (F16)
|
100% |
4401
328.6 IPS |
|
|
Object Detection (I8)
|
63% |
4015
299.7 IPS |
|
|
Face Detection (F32)
|
100% |
15153
180.2 IPS |
|
|
Face Detection (F16)
|
100% |
15633
185.9 IPS |
|
|
Face Detection (I8)
|
89% |
12639
150.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
29342
227.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
30906
239.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
26131
202.6 IPS |
|
|
Style Transfer (F32)
|
100% |
139789
183.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112752
148.3 IPS |
|
|
Style Transfer (I8)
|
98% |
103524
136.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20710
739.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22344
798.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16315
582.7 IPS |
|
|
Text Classification (F32)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1049
1.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
2988
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2986
54.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1677
30.9 IPS |
