| Upload Date | November 06 2025 05:33 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13028
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
19159
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11640
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23005
372.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32537
527.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20580
334.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
181084
211.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
691748
807.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163246
191.2 IPS |
|
|
Object Detection (SP)
|
100% |
17039
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
26141
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
13987
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
50191
596.4 IPS |
|
|
Face Detection (HP)
|
100% |
71075
844.5 IPS |
|
|
Face Detection (Q)
|
97% |
41794
498.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85499
658.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
149811
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65147
520.2 IPS |
|
|
Style Transfer (SP)
|
100% |
325596
418.6 IPS |
|
|
Style Transfer (HP)
|
100% |
994616
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
271464
350.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46540
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74052
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35915
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6354
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5974
102.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2920
54.8 IPS |