| Upload Date | November 20 2025 11:00 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8491
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
15742
2.93 KIPS |
|
|
Image Classification (Q)
|
99% |
7583
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11626
188.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16098
261.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10835
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101593
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
314257
366.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84921
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
10780
855.0 IPS |
|
|
Object Detection (HP)
|
100% |
17731
1.41 KIPS |
|
|
Object Detection (Q)
|
83% |
9283
750.0 IPS |
|
|
Face Detection (SP)
|
100% |
24922
296.1 IPS |
|
|
Face Detection (HP)
|
100% |
40120
476.7 IPS |
|
|
Face Detection (Q)
|
97% |
22186
264.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
49556
381.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103798
799.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39999
319.8 IPS |
|
|
Style Transfer (SP)
|
100% |
153939
197.9 IPS |
|
|
Style Transfer (HP)
|
100% |
530055
681.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129623
167.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28964
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56126
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22610
837.2 IPS |
|
|
Text Classification (SP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4475
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2270
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1738
32.6 IPS |