| User | nimblebits |
| Upload Date | January 21 2025 10:59 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3778
702.5 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
99% |
6783
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3239
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7972
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
26367
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
6440
517.6 IPS |
|
|
Face Detection (SP)
|
100% |
8568
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
10175
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10209
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17094
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18722
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12295
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23742
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3370
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5390
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
667
893.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3399
68.3 IPS |