| Upload Date | November 04 2025 01:15 PM |
| Views | 3 |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8356
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
99% |
7397
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13258
214.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19157
310.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12265
199.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
102179
119.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
310889
362.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
85992
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
10740
851.9 IPS |
|
|
Object Detection (HP)
|
100% |
17399
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9247
747.1 IPS |
|
|
Face Detection (SP)
|
100% |
25835
307.0 IPS |
|
|
Face Detection (HP)
|
100% |
42023
499.3 IPS |
|
|
Face Detection (Q)
|
97% |
22821
272.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49940
384.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100746
776.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
40211
321.5 IPS |
|
|
Style Transfer (SP)
|
100% |
154997
199.3 IPS |
|
|
Style Transfer (HP)
|
100% |
521849
670.8 IPS |
|
|
Style Transfer (Q)
|
98% |
131414
169.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28595
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54984
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22201
822.1 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4278
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1868
35.0 IPS |