LENOVO 21KYZBZCUS
Geekbench ML Score
11681
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 02:51 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5567
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5775
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5185
970.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8711
145.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7803
130.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7170
119.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
76296
92.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
73106
88.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
64775
78.4 IPS |
|
|
Object Detection (F32)
|
100% |
4406
328.9 IPS |
|
|
Object Detection (F16)
|
100% |
4465
333.3 IPS |
|
|
Object Detection (I8)
|
63% |
4071
303.9 IPS |
|
|
Face Detection (F32)
|
100% |
15788
187.7 IPS |
|
|
Face Detection (F16)
|
100% |
15943
189.6 IPS |
|
|
Face Detection (I8)
|
89% |
12618
150.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
27123
210.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
31942
247.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
25964
201.3 IPS |
|
|
Style Transfer (F32)
|
100% |
140502
184.8 IPS |
|
|
Style Transfer (F16)
|
100% |
111777
147.0 IPS |
|
|
Style Transfer (I8)
|
98% |
100043
131.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20797
742.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22303
796.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16751
598.2 IPS |
|
|
Text Classification (F32)
|
100% |
1546
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1226
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
3016
55.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3007
55.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1693
31.2 IPS |
