| User | jlangstroth |
| Upload Date | May 12 2025 04:59 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13660
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
17828
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
11814
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25185
408.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30740
498.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21773
354.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
301998
352.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
542394
632.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
274468
321.6 IPS |
|
|
Object Detection (SP)
|
100% |
18740
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24011
1.90 KIPS |
|
|
Object Detection (Q)
|
86% |
15699
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
52823
627.7 IPS |
|
|
Face Detection (HP)
|
100% |
66394
788.9 IPS |
|
|
Face Detection (Q)
|
97% |
43163
514.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
97944
754.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
158323
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72098
576.6 IPS |
|
|
Style Transfer (SP)
|
100% |
567474
729.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1055422
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
478360
616.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58587
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79643
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45033
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4394
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2152
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2613
49.0 IPS |