| User | drive5600x |
| Upload Date | February 23 2025 08:02 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13284
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
12868
2.39 KIPS |
|
|
Image Classification (Q)
|
99% |
10559
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19024
308.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15813
256.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15998
260.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
211830
247.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
322113
375.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
180661
211.7 IPS |
|
|
Object Detection (SP)
|
100% |
13110
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
13035
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
10915
876.6 IPS |
|
|
Face Detection (SP)
|
100% |
39113
464.8 IPS |
|
|
Face Detection (HP)
|
100% |
41890
497.7 IPS |
|
|
Face Detection (Q)
|
97% |
31483
375.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78569
605.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
82617
636.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
58421
469.1 IPS |
|
|
Style Transfer (SP)
|
100% |
388625
499.6 IPS |
|
|
Style Transfer (HP)
|
100% |
519441
667.7 IPS |
|
|
Style Transfer (Q)
|
98% |
307766
396.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43656
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50924
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32212
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2552
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3079
57.7 IPS |