| User | chrixmix |
| Upload Date | August 22 2025 05:03 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5857
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
99% |
8384
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15258
248.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13037
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
40980
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
5274
418.3 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
8909
716.0 IPS |
|
|
Face Detection (SP)
|
100% |
16831
200.0 IPS |
|
|
Face Detection (HP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
14091
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15513
119.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2589
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23599
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30285
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12995
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36711
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4405
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2490
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7518
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
1946
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4216
84.7 IPS |