| User | bearjett1 |
| Upload Date | May 25 2025 03:55 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4930
916.8 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.1 IPS |
|
|
Image Classification (Q)
|
99% |
7971
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4324
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12202
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5306
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
38538
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
4901
388.8 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
9040
726.5 IPS |
|
|
Face Detection (SP)
|
100% |
13667
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
13394
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14647
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2516
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22128
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28526
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13217
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34059
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5540
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1892
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4393
88.3 IPS |