| Upload Date | November 20 2025 08:14 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15032
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
21566
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
13265
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24048
389.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32844
532.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22495
365.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
239067
279.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
734820
857.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
204855
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
19647
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
30344
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
16918
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
54534
648.0 IPS |
|
|
Face Detection (HP)
|
100% |
77286
918.3 IPS |
|
|
Face Detection (Q)
|
97% |
45198
538.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
92787
714.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
175314
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68553
547.4 IPS |
|
|
Style Transfer (SP)
|
100% |
355056
456.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1163126
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
307233
396.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57563
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86357
3.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43023
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2442
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6247
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6246
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2893
54.3 IPS |