| User | HeyJude5 |
| Upload Date | August 20 2025 10:02 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Power Plan | Bitsum Highest Performance |
| 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% |
17975
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
23339
4.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15236
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36732
595.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
46566
754.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
33191
539.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
398972
465.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010137
1.18 KIPS |
|
|
Pose Estimation (Q)
|
96% |
322409
377.7 IPS |
|
|
Object Detection (SP)
|
100% |
23873
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
30870
2.45 KIPS |
|
|
Object Detection (Q)
|
85% |
19763
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
69254
822.9 IPS |
|
|
Face Detection (HP)
|
100% |
90731
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
55736
664.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
109119
840.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
196223
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77493
620.7 IPS |
|
|
Style Transfer (SP)
|
100% |
609481
783.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1737273
2.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
509401
656.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77448
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103026
3.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55246
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4444
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2566
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7467
128.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7501
129.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3190
59.8 IPS |