| User | Tweakar |
| Upload Date | December 09 2025 04:35 AM |
| Views | 2 |
| 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. X870E AORUS ELITE X3D |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18013
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
22359
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
15476
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34992
567.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
43088
698.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
32585
529.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
432952
505.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073476
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
350995
411.1 IPS |
|
|
Object Detection (SP)
|
100% |
25416
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
32767
2.60 KIPS |
|
|
Object Detection (Q)
|
85% |
21416
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
78202
929.2 IPS |
|
|
Face Detection (HP)
|
100% |
102580
1.22 KIPS |
|
|
Face Detection (Q)
|
97% |
62442
744.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
116682
899.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
202886
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
83444
668.3 IPS |
|
|
Style Transfer (SP)
|
100% |
663436
852.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1794626
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
550930
710.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79877
2.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99875
3.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55068
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6873
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7026
121.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3120
58.5 IPS |