| User | Nghayward |
| Upload Date | November 26 2025 11:13 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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% |
15986
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
20473
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
14060
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34256
555.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42543
689.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31288
508.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
387375
452.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
913570
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
308464
361.3 IPS |
|
|
Object Detection (SP)
|
100% |
21521
1.71 KIPS |
|
|
Object Detection (HP)
|
100% |
27289
2.16 KIPS |
|
|
Object Detection (Q)
|
85% |
18455
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
63938
759.7 IPS |
|
|
Face Detection (HP)
|
100% |
83065
987.0 IPS |
|
|
Face Detection (Q)
|
97% |
51292
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
102694
791.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
182456
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73881
591.8 IPS |
|
|
Style Transfer (SP)
|
100% |
574125
738.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1580228
2.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
487042
628.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68732
2.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89733
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50924
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2361
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6669
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6744
116.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3047
57.1 IPS |