| User | Alpi82 |
| Upload Date | January 12 2026 12:01 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO V2 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12894
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
18394
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
11221
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23479
380.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
31556
511.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21016
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
191326
223.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
492393
574.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
173127
202.8 IPS |
|
|
Object Detection (SP)
|
100% |
16120
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
23405
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
13551
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
46180
548.7 IPS |
|
|
Face Detection (HP)
|
100% |
62621
744.1 IPS |
|
|
Face Detection (Q)
|
97% |
39035
465.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83046
639.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
139549
1.08 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62920
503.0 IPS |
|
|
Style Transfer (SP)
|
100% |
350721
450.9 IPS |
|
|
Style Transfer (HP)
|
100% |
827640
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
309568
399.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51209
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63511
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36348
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4426
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2740
51.4 IPS |