| User | RG22032 |
| Upload Date | December 28 2024 08:49 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5322
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5112
82.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57444
67.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31507
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
45927
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
2795
221.7 IPS |
|
|
Object Detection (HP)
|
100% |
4482
355.5 IPS |
|
|
Object Detection (Q)
|
84% |
2385
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
8571
101.8 IPS |
|
|
Face Detection (Q)
|
97% |
4924
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17575
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16941
130.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13680
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
94151
121.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54807
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
71318
92.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16611
613.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13330
492.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10340
382.9 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3180
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1463
27.4 IPS |