| User | Sparrrxw |
| Upload Date | March 20 2025 10:19 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M K |
| Motherboard | Gigabyte Technology Co., Ltd. B550M K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4932
917.3 IPS |
|
|
Image Classification (HP)
|
100% |
8675
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
3859
719.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8411
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12337
200.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6754
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
52621
61.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
149335
174.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
44846
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
6035
478.7 IPS |
|
|
Object Detection (HP)
|
100% |
10566
838.1 IPS |
|
|
Object Detection (Q)
|
84% |
4677
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
14356
170.6 IPS |
|
|
Face Detection (HP)
|
100% |
23573
280.1 IPS |
|
|
Face Detection (Q)
|
97% |
11532
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28386
218.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55520
427.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19777
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
93966
120.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226777
291.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78059
100.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17129
632.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29603
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10453
387.1 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1349
25.3 IPS |