Upload Date | August 22 2024 07:04 AM |
Views | 2 |
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 |
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 |