| Upload Date | September 21 2025 12:53 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15326
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
22557
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
13398
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24641
399.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33831
548.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23126
376.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
241789
282.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
724526
845.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
205910
241.2 IPS |
|
|
Object Detection (SP)
|
100% |
20658
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
31900
2.53 KIPS |
|
|
Object Detection (Q)
|
86% |
17455
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
56293
668.9 IPS |
|
|
Face Detection (HP)
|
100% |
81401
967.2 IPS |
|
|
Face Detection (Q)
|
97% |
46059
549.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93511
720.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
164899
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68185
544.5 IPS |
|
|
Style Transfer (SP)
|
100% |
362599
466.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1174293
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
313349
404.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60079
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92986
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44104
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2500
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6423
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6444
111.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2930
55.0 IPS |