Upload Date | August 22 2024 07:01 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% |
5221
977.1 IPS |
|
Image Classification (F16)
|
100% |
5680
1.06 KIPS |
|
Image Classification (I8)
|
100% |
5102
954.7 IPS |
|
Image Segmentation (F32)
|
100% |
8932
149.2 IPS |
|
Image Segmentation (F16)
|
100% |
7816
130.5 IPS |
|
Image Segmentation (I8)
|
98% |
7222
120.6 IPS |
|
Pose Estimation (F32)
|
100% |
75758
91.7 IPS |
|
Pose Estimation (F16)
|
100% |
71293
86.3 IPS |
|
Pose Estimation (I8)
|
100% |
64270
77.8 IPS |
|
Object Detection (F32)
|
100% |
4265
318.4 IPS |
|
Object Detection (F16)
|
100% |
4381
327.1 IPS |
|
Object Detection (I8)
|
63% |
3883
289.9 IPS |
|
Face Detection (F32)
|
100% |
15676
186.4 IPS |
|
Face Detection (F16)
|
100% |
15615
185.7 IPS |
|
Face Detection (I8)
|
89% |
12792
152.1 IPS |
|
Depth Estimation (F32)
|
100% |
29787
231.0 IPS |
|
Depth Estimation (F16)
|
100% |
26307
204.0 IPS |
|
Depth Estimation (I8)
|
94% |
21491
166.7 IPS |
|
Style Transfer (F32)
|
100% |
137442
180.8 IPS |
|
Style Transfer (F16)
|
100% |
112897
148.5 IPS |
|
Style Transfer (I8)
|
98% |
102989
135.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
21407
764.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
21983
785.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
16660
595.0 IPS |
|
Text Classification (F32)
|
100% |
1576
2.27 KIPS |
|
Text Classification (F16)
|
100% |
1443
2.07 KIPS |
|
Text Classification (I8)
|
98% |
1094
1.57 KIPS |
|
Machine Translation (F32)
|
100% |
3045
56.0 IPS |
|
Machine Translation (F16)
|
100% |
3058
56.3 IPS |
|
Machine Translation (I8)
|
70% |
1703
31.3 IPS |