LENOVO 21KYZBZCUS
Geekbench ML Score
11357
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 07:04 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5559
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5802
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
5132
960.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8710
145.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7863
131.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7139
119.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
71324
86.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
69962
84.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
66670
80.7 IPS |
|
|
Object Detection (F32)
|
100% |
4350
324.7 IPS |
|
|
Object Detection (F16)
|
100% |
2607
194.7 IPS |
|
|
Object Detection (I8)
|
63% |
3890
290.4 IPS |
|
|
Face Detection (F32)
|
100% |
14941
177.7 IPS |
|
|
Face Detection (F16)
|
100% |
15480
184.1 IPS |
|
|
Face Detection (I8)
|
89% |
12972
154.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
31093
241.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30954
240.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
27275
211.5 IPS |
|
|
Style Transfer (F32)
|
100% |
140600
184.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112458
147.9 IPS |
|
|
Style Transfer (I8)
|
98% |
100210
131.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21822
779.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22734
811.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16598
592.8 IPS |
|
|
Text Classification (F32)
|
100% |
1583
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1501
2.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1030
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
3039
55.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3023
55.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1659
30.5 IPS |
