| Upload Date | November 22 2025 01:10 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| Power Plan | Balanced |
| 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% |
10540
1.96 KIPS |
|
|
Image Classification (HP)
|
99% |
15463
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
6904
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19613
317.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29528
478.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13557
220.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
170992
199.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
373459
435.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
126521
148.2 IPS |
|
|
Object Detection (SP)
|
100% |
13948
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
20696
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
9015
725.2 IPS |
|
|
Face Detection (SP)
|
100% |
38126
453.0 IPS |
|
|
Face Detection (HP)
|
100% |
56610
672.6 IPS |
|
|
Face Detection (Q)
|
97% |
23679
282.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65795
506.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
116576
898.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38266
306.4 IPS |
|
|
Style Transfer (SP)
|
100% |
277223
356.4 IPS |
|
|
Style Transfer (HP)
|
100% |
679144
873.0 IPS |
|
|
Style Transfer (Q)
|
98% |
193324
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40741
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60874
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22828
845.3 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1614
30.3 IPS |