| User | Nghayward |
| Upload Date | November 28 2025 09:50 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800XT 8-Core Processor |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9198
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
14245
2.66 KIPS |
|
|
Image Classification (Q)
|
99% |
8241
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14813
240.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19817
321.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13433
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
112702
131.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
354480
413.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
99765
116.9 IPS |
|
|
Object Detection (SP)
|
100% |
10689
847.9 IPS |
|
|
Object Detection (HP)
|
100% |
17450
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
9404
757.0 IPS |
|
|
Face Detection (SP)
|
100% |
25965
308.5 IPS |
|
|
Face Detection (HP)
|
100% |
40367
479.6 IPS |
|
|
Face Detection (Q)
|
97% |
23083
275.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53820
414.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98419
758.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
43125
345.3 IPS |
|
|
Style Transfer (SP)
|
100% |
196805
253.0 IPS |
|
|
Style Transfer (HP)
|
100% |
472284
607.1 IPS |
|
|
Style Transfer (Q)
|
98% |
177476
228.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33653
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52087
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25608
948.2 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2016
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2043
38.3 IPS |