| Upload Date | April 18 2025 02:30 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15167
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
23519
4.37 KIPS |
|
|
Image Classification (Q)
|
100% |
13181
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28338
459.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
44598
723.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25078
407.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
178662
208.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
718470
838.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
161077
188.7 IPS |
|
|
Object Detection (SP)
|
100% |
19328
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
33945
2.69 KIPS |
|
|
Object Detection (Q)
|
86% |
15609
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
55807
663.1 IPS |
|
|
Face Detection (HP)
|
100% |
82060
975.0 IPS |
|
|
Face Detection (Q)
|
97% |
45158
538.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
88883
684.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
150400
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65625
524.0 IPS |
|
|
Style Transfer (SP)
|
100% |
329317
423.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1105284
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
273584
352.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51519
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89167
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39146
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2472
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
8007
137.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7975
137.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3198
60.0 IPS |