| User | mrtime |
| Upload Date | November 09 2024 06:56 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X399 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X399 AORUS XTREME-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4726
878.8 IPS |
|
|
Image Classification (HP)
|
100% |
7962
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
3513
653.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6663
108.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7995
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5547
90.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
65447
76.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
182527
213.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
55575
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
5572
442.0 IPS |
|
|
Object Detection (HP)
|
100% |
8459
670.9 IPS |
|
|
Object Detection (Q)
|
89% |
4116
329.4 IPS |
|
|
Face Detection (SP)
|
100% |
12956
153.9 IPS |
|
|
Face Detection (HP)
|
100% |
17928
213.0 IPS |
|
|
Face Detection (Q)
|
97% |
10125
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30897
238.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54282
418.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
21306
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
105830
136.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237099
304.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89716
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19950
736.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27374
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12450
461.0 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
99% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
60% |
876
19.5 IPS |