User | nimblebits |
Upload Date | March 07 2025 04:00 PM |
Views | 6 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASRock Z790 PG Lightning |
Motherboard | ASRock Z790 PG Lightning |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i5-13600K |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 2.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics 770 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
663
124.0 IPS |
|
Image Classification (F16)
|
100% |
662
123.8 IPS |
|
Image Classification (I8)
|
100% |
533
99.7 IPS |
|
Image Segmentation (F32)
|
100% |
979
16.4 IPS |
|
Image Segmentation (F16)
|
100% |
980
16.4 IPS |
|
Image Segmentation (I8)
|
98% |
750
12.5 IPS |
|
Pose Estimation (F32)
|
100% |
5210
6.31 IPS |
|
Pose Estimation (F16)
|
100% |
5199
6.30 IPS |
|
Pose Estimation (I8)
|
100% |
3413
4.13 IPS |
|
Object Detection (F32)
|
100% |
781
58.3 IPS |
|
Object Detection (F16)
|
100% |
780
58.2 IPS |
|
Object Detection (I8)
|
54% |
631
47.1 IPS |
|
Face Detection (F32)
|
100% |
1441
17.1 IPS |
|
Face Detection (F16)
|
100% |
1441
17.1 IPS |
|
Face Detection (I8)
|
89% |
1020
12.1 IPS |
|
Depth Estimation (F32)
|
100% |
2959
23.0 IPS |
|
Depth Estimation (F16)
|
100% |
2959
22.9 IPS |
|
Depth Estimation (I8)
|
95% |
2260
17.5 IPS |
|
Style Transfer (F32)
|
100% |
10465
13.8 IPS |
|
Style Transfer (F16)
|
100% |
10462
13.8 IPS |
|
Style Transfer (I8)
|
98% |
7885
10.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
1795
64.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
1810
64.6 IPS |
|
Image Super-Resolution (I8)
|
99% |
960
34.3 IPS |
|
Text Classification (F32)
|
100% |
832
1.20 KIPS |
|
Text Classification (F16)
|
100% |
814
1.17 KIPS |
|
Text Classification (I8)
|
98% |
392
563.8 IPS |
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
Machine Translation (F16)
|
100% |
728
13.4 IPS |
|
Machine Translation (I8)
|
70% |
420
7.72 IPS |