| Upload Date | September 30 2025 12:28 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING WIFI (MS-7E30) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17320
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
18954
3.52 KIPS |
|
|
Image Classification (Q)
|
99% |
15455
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26146
423.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31387
508.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24863
404.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
210336
245.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
627463
732.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
193552
226.7 IPS |
|
|
Object Detection (SP)
|
100% |
15130
1.20 KIPS |
|
|
Object Detection (HP)
|
99% |
21476
1.70 KIPS |
|
|
Object Detection (Q)
|
87% |
13746
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
53534
636.1 IPS |
|
|
Face Detection (HP)
|
100% |
62159
738.6 IPS |
|
|
Face Detection (Q)
|
97% |
47133
562.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87121
671.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
130441
1.00 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71825
575.6 IPS |
|
|
Style Transfer (SP)
|
100% |
394893
507.6 IPS |
|
|
Style Transfer (HP)
|
100% |
732112
941.1 IPS |
|
|
Style Transfer (Q)
|
98% |
357898
461.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56491
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93784
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44609
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5432
7.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5781
7.72 KIPS |
|
|
Text Classification (Q)
|
97% |
3558
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
7071
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7039
121.3 IPS |
|
|
Machine Translation (Q)
|
70% |
4174
78.3 IPS |