| Upload Date | August 23 2025 04:04 PM |
| Views | 7 |
| 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 MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16578
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
21807
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
14834
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32460
526.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
39407
638.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29627
481.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
399845
466.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
948818
1.11 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325143
380.9 IPS |
|
|
Object Detection (SP)
|
100% |
22275
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28626
2.27 KIPS |
|
|
Object Detection (Q)
|
85% |
18795
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
64689
768.6 IPS |
|
|
Face Detection (HP)
|
100% |
80380
955.1 IPS |
|
|
Face Detection (Q)
|
97% |
52643
627.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
105633
813.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
191376
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76743
614.7 IPS |
|
|
Style Transfer (SP)
|
100% |
591401
760.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1621399
2.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
499489
644.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73290
2.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95368
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52447
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
4493
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2467
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6625
114.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6630
114.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3080
57.8 IPS |