User | nimblebits |
Upload Date | March 07 2025 03:52 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 | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2448
458.1 IPS |
|
Image Classification (F16)
|
100% |
2442
456.9 IPS |
|
Image Classification (I8)
|
99% |
4364
816.7 IPS |
|
Image Segmentation (F32)
|
100% |
2065
34.5 IPS |
|
Image Segmentation (F16)
|
100% |
2011
33.6 IPS |
|
Image Segmentation (I8)
|
98% |
3843
64.2 IPS |
|
Pose Estimation (F32)
|
100% |
8017
9.71 IPS |
|
Pose Estimation (F16)
|
100% |
8010
9.70 IPS |
|
Pose Estimation (I8)
|
100% |
23894
28.9 IPS |
|
Object Detection (F32)
|
100% |
2406
179.6 IPS |
|
Object Detection (F16)
|
100% |
2355
175.8 IPS |
|
Object Detection (I8)
|
62% |
2369
176.9 IPS |
|
Face Detection (F32)
|
100% |
4151
49.4 IPS |
|
Face Detection (F16)
|
100% |
4139
49.2 IPS |
|
Face Detection (I8)
|
89% |
4631
55.1 IPS |
|
Depth Estimation (F32)
|
100% |
9091
70.5 IPS |
|
Depth Estimation (F16)
|
100% |
9309
72.2 IPS |
|
Depth Estimation (I8)
|
96% |
15550
120.6 IPS |
|
Style Transfer (F32)
|
100% |
18597
24.5 IPS |
|
Style Transfer (F16)
|
100% |
18863
24.8 IPS |
|
Style Transfer (I8)
|
98% |
23170
30.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
4295
153.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
4288
153.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
6051
216.1 IPS |
|
Text Classification (F32)
|
100% |
1861
2.67 KIPS |
|
Text Classification (F16)
|
100% |
1874
2.69 KIPS |
|
Text Classification (I8)
|
98% |
1383
1.99 KIPS |
|
Machine Translation (F32)
|
100% |
1953
35.9 IPS |
|
Machine Translation (F16)
|
100% |
2285
42.1 IPS |
|
Machine Translation (I8)
|
67% |
3748
69.0 IPS |