| User | Nghayward |
| Upload Date | November 26 2025 11:08 PM |
| Views | 4 |
| 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% |
9040
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
14171
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
8114
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14576
236.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19216
311.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13221
215.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
113529
132.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
350143
408.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
99543
116.6 IPS |
|
|
Object Detection (SP)
|
100% |
10431
827.4 IPS |
|
|
Object Detection (HP)
|
100% |
17367
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
9173
738.4 IPS |
|
|
Face Detection (SP)
|
100% |
25708
305.5 IPS |
|
|
Face Detection (HP)
|
100% |
39565
470.1 IPS |
|
|
Face Detection (Q)
|
97% |
22819
272.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
48397
372.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93503
720.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39344
315.0 IPS |
|
|
Style Transfer (SP)
|
100% |
198336
255.0 IPS |
|
|
Style Transfer (HP)
|
100% |
476560
612.6 IPS |
|
|
Style Transfer (Q)
|
98% |
177386
228.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33464
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51359
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25038
927.1 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3983
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2023
38.0 IPS |