Upload Date | March 16 2025 08:56 PM |
Views | 6 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | System manufacturer System Product Name |
Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i9-7900X |
Topology | 1 Processor, 10 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
Base Frequency | 3.30 GHz |
Cluster 1 | 10 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 32.0 KB x 10 |
L2 Cache | 1.00 MB x 10 |
L3 Cache | 13.8 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1721
322.0 IPS |
|
Image Classification (F16)
|
100% |
1744
326.3 IPS |
|
Image Classification (I8)
|
97% |
2548
476.8 IPS |
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
Image Segmentation (F16)
|
100% |
1417
23.7 IPS |
|
Image Segmentation (I8)
|
97% |
2037
34.0 IPS |
|
Pose Estimation (F32)
|
100% |
14420
17.5 IPS |
|
Pose Estimation (F16)
|
100% |
14440
17.5 IPS |
|
Pose Estimation (I8)
|
100% |
19367
23.5 IPS |
|
Object Detection (F32)
|
100% |
1835
137.0 IPS |
|
Object Detection (F16)
|
100% |
1820
135.9 IPS |
|
Object Detection (I8)
|
60% |
1490
111.2 IPS |
|
Face Detection (F32)
|
100% |
3270
38.9 IPS |
|
Face Detection (F16)
|
100% |
3270
38.9 IPS |
|
Face Detection (I8)
|
87% |
3888
46.2 IPS |
|
Depth Estimation (F32)
|
100% |
9150
71.0 IPS |
|
Depth Estimation (F16)
|
100% |
9310
72.2 IPS |
|
Depth Estimation (I8)
|
74% |
11317
87.8 IPS |
|
Style Transfer (F32)
|
100% |
26694
35.1 IPS |
|
Style Transfer (F16)
|
100% |
26758
35.2 IPS |
|
Style Transfer (I8)
|
85% |
20024
26.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3765
134.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
3797
135.6 IPS |
|
Image Super-Resolution (I8)
|
97% |
3017
107.7 IPS |
|
Text Classification (F32)
|
100% |
1290
1.85 KIPS |
|
Text Classification (F16)
|
100% |
1258
1.81 KIPS |
|
Text Classification (I8)
|
94% |
393
564.1 IPS |
|
Machine Translation (F32)
|
100% |
1798
33.1 IPS |
|
Machine Translation (F16)
|
100% |
1801
33.1 IPS |
|
Machine Translation (I8)
|
67% |
2025
37.3 IPS |