Upload Date | September 30 2024 09:56 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. Vector 17 HX A13VHG |
Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
Power Plan | Camomile |
CPU Information | |
---|---|
Name | Intel Core i9-13980HX |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 2.00 MB x 4 |
L3 Cache | 36.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1161
217.3 IPS |
|
Image Classification (F16)
|
100% |
1134
212.2 IPS |
|
Image Classification (I8)
|
99% |
1910
357.5 IPS |
|
Image Segmentation (F32)
|
100% |
962
16.1 IPS |
|
Image Segmentation (F16)
|
100% |
1000
16.7 IPS |
|
Image Segmentation (I8)
|
98% |
1389
23.2 IPS |
|
Pose Estimation (F32)
|
100% |
4392
5.32 IPS |
|
Pose Estimation (F16)
|
100% |
5299
6.42 IPS |
|
Pose Estimation (I8)
|
100% |
13579
16.4 IPS |
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
Object Detection (F16)
|
100% |
1090
81.4 IPS |
|
Object Detection (I8)
|
62% |
942
70.4 IPS |
|
Face Detection (F32)
|
100% |
2194
26.1 IPS |
|
Face Detection (F16)
|
100% |
2230
26.5 IPS |
|
Face Detection (I8)
|
89% |
2546
30.3 IPS |
|
Depth Estimation (F32)
|
100% |
4412
34.2 IPS |
|
Depth Estimation (F16)
|
100% |
5133
39.8 IPS |
|
Depth Estimation (I8)
|
96% |
8005
62.1 IPS |
|
Style Transfer (F32)
|
100% |
11309
14.9 IPS |
|
Style Transfer (F16)
|
100% |
9078
11.9 IPS |
|
Style Transfer (I8)
|
98% |
15237
20.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
2072
74.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
2366
84.5 IPS |
|
Image Super-Resolution (I8)
|
99% |
2521
90.0 IPS |
|
Text Classification (F32)
|
100% |
723
1.04 KIPS |
|
Text Classification (F16)
|
100% |
712
1.02 KIPS |
|
Text Classification (I8)
|
98% |
210
302.3 IPS |
|
Machine Translation (F32)
|
100% |
1044
19.2 IPS |
|
Machine Translation (F16)
|
100% |
1068
19.7 IPS |
|
Machine Translation (I8)
|
67% |
1389
25.6 IPS |