| Upload Date | August 24 2025 11:28 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14580
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
23037
4.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12973
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28355
459.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
43258
701.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25237
410.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
183561
214.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
747503
872.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
164965
193.2 IPS |
|
|
Object Detection (SP)
|
100% |
19495
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
32754
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
15813
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
56200
667.8 IPS |
|
|
Face Detection (HP)
|
100% |
84288
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
45751
545.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
89993
693.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
161777
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67024
535.2 IPS |
|
|
Style Transfer (SP)
|
100% |
329511
423.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1107897
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
274840
354.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51528
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87417
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39534
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5109
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7881
135.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7799
134.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3176
59.6 IPS |