| User | fang1121cs |
| Upload Date | December 20 2024 02:35 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8591
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
12191
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
5905
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13393
217.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18155
294.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10449
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
112798
131.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
333699
389.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
89623
105.0 IPS |
|
|
Object Detection (SP)
|
100% |
10759
853.4 IPS |
|
|
Object Detection (HP)
|
100% |
15728
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
7597
611.6 IPS |
|
|
Face Detection (SP)
|
100% |
26173
311.0 IPS |
|
|
Face Detection (HP)
|
100% |
38849
461.6 IPS |
|
|
Face Detection (Q)
|
97% |
18906
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53334
410.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86349
665.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33383
267.5 IPS |
|
|
Style Transfer (SP)
|
100% |
219230
281.8 IPS |
|
|
Style Transfer (HP)
|
100% |
478133
614.6 IPS |
|
|
Style Transfer (Q)
|
98% |
162120
209.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34702
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45487
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18730
693.5 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1524
28.6 IPS |