| User | mattskr |
| Upload Date | July 17 2025 04:17 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13942
2.59 KIPS |
|
|
Image Classification (HP)
|
99% |
18536
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11155
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25049
406.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30939
501.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22603
367.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
309419
361.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
537607
627.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
270334
316.7 IPS |
|
|
Object Detection (SP)
|
100% |
17783
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
24098
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
15105
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
53542
636.2 IPS |
|
|
Face Detection (HP)
|
100% |
66746
793.1 IPS |
|
|
Face Detection (Q)
|
97% |
45410
541.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
98300
757.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
153970
1.19 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69904
559.1 IPS |
|
|
Style Transfer (SP)
|
100% |
546684
702.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1019633
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
469837
605.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56635
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80749
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43038
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5675
97.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2634
49.4 IPS |