Upload Date | August 16 2024 12:11 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ProArt Studiobook W7604J3D_W7604J3D |
Motherboard | ASUSTeK COMPUTER INC. W7604J3D |
Power Plan | Balanced |
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 | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2214
414.3 IPS |
|
Image Classification (F16)
|
100% |
2236
418.4 IPS |
|
Image Classification (I8)
|
99% |
3498
654.6 IPS |
|
Image Segmentation (F32)
|
100% |
1898
31.7 IPS |
|
Image Segmentation (F16)
|
100% |
1912
31.9 IPS |
|
Image Segmentation (I8)
|
98% |
2918
48.7 IPS |
|
Pose Estimation (F32)
|
100% |
9424
11.4 IPS |
|
Pose Estimation (F16)
|
100% |
9346
11.3 IPS |
|
Pose Estimation (I8)
|
100% |
27868
33.7 IPS |
|
Object Detection (F32)
|
100% |
2163
161.5 IPS |
|
Object Detection (F16)
|
100% |
2124
158.6 IPS |
|
Object Detection (I8)
|
62% |
1845
137.7 IPS |
|
Face Detection (F32)
|
100% |
4682
55.7 IPS |
|
Face Detection (F16)
|
100% |
4559
54.2 IPS |
|
Face Detection (I8)
|
89% |
4426
52.6 IPS |
|
Depth Estimation (F32)
|
100% |
8841
68.6 IPS |
|
Depth Estimation (F16)
|
100% |
8825
68.4 IPS |
|
Depth Estimation (I8)
|
96% |
14823
115.0 IPS |
|
Style Transfer (F32)
|
100% |
21036
27.7 IPS |
|
Style Transfer (F16)
|
100% |
21392
28.1 IPS |
|
Style Transfer (I8)
|
98% |
25021
32.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
4006
143.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
3955
141.2 IPS |
|
Image Super-Resolution (I8)
|
99% |
4882
174.4 IPS |
|
Text Classification (F32)
|
100% |
1380
1.98 KIPS |
|
Text Classification (F16)
|
100% |
1356
1.95 KIPS |
|
Text Classification (I8)
|
98% |
389
559.0 IPS |
|
Machine Translation (F32)
|
100% |
1948
35.9 IPS |
|
Machine Translation (F16)
|
100% |
1983
36.5 IPS |
|
Machine Translation (I8)
|
67% |
2700
49.7 IPS |