| User | icehacker |
| Upload Date | August 21 2025 10:17 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
96% |
3169
591.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
3942
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4012
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
8403
9.93 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
58% |
2123
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5541
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7414
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9744
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7599
9.77 IPS |
|
|
Style Transfer (Q)
|
87% |
10460
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3105
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.7 IPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1696
32.8 IPS |