| User | nimblebits |
| Upload Date | January 21 2025 11:28 AM |
| Views | 10 |
| 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% |
3807
708.1 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
6915
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3410
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8083
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5005
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
26105
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
6345
509.9 IPS |
|
|
Face Detection (SP)
|
100% |
8446
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
10554
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10294
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16618
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18544
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12093
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24635
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3342
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
709
949.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3386
68.0 IPS |