| User | Pex_Water_Pipes |
| Upload Date | February 28 2026 04:05 PM |
| Views | 5 |
| 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 | Balanced |
| 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% |
5015
932.6 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (Q)
|
99% |
7808
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4691
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12416
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
39361
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
4644
368.4 IPS |
|
|
Object Detection (HP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
8875
713.3 IPS |
|
|
Face Detection (SP)
|
100% |
13664
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
13886
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14522
111.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2387
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22566
180.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28092
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13036
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37647
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4228
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2379
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6013
222.6 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1942
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4558
91.6 IPS |