| User | drive5600x |
| Upload Date | February 10 2025 11:50 AM |
| Views | 13 |
| 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 | Balanced |
| 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% |
13054
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
12595
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
10533
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15726
254.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15871
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
211460
246.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
320222
373.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
178217
208.8 IPS |
|
|
Object Detection (SP)
|
100% |
12779
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
12976
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
10882
873.9 IPS |
|
|
Face Detection (SP)
|
100% |
38602
458.7 IPS |
|
|
Face Detection (HP)
|
100% |
41795
496.6 IPS |
|
|
Face Detection (Q)
|
97% |
31397
374.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
76815
591.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
82852
638.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
57284
460.0 IPS |
|
|
Style Transfer (SP)
|
100% |
379193
487.5 IPS |
|
|
Style Transfer (HP)
|
100% |
514136
660.9 IPS |
|
|
Style Transfer (Q)
|
98% |
299741
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43930
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50963
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32166
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5166
89.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3061
57.4 IPS |