| User | icehacker |
| Upload Date | August 21 2025 09:43 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUSTeK COMPUTER INC ROG MAXIMUS X HERO |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS X HERO |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
96% |
3174
592.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
3929
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
8279
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
58% |
2288
250.0 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5666
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4824
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7301
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9962
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7663
9.85 IPS |
|
|
Style Transfer (Q)
|
87% |
10195
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3191
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.1 IPS |
|
|
Text Classification (Q)
|
97% |
1041
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1629
31.5 IPS |