| User | HeyJude5 |
| Upload Date | August 20 2025 09:58 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5156
958.8 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
99% |
7923
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14673
238.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11697
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5058
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
39662
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (HP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
8901
715.4 IPS |
|
|
Face Detection (SP)
|
100% |
14637
173.9 IPS |
|
|
Face Detection (HP)
|
100% |
1973
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
13645
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13903
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2365
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21411
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26662
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12393
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33707
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7015
259.7 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1634
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4113
82.7 IPS |