| User | mrtime |
| Upload Date | November 09 2024 07:07 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2950X 16-Core Processor |
| 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% |
1743
324.1 IPS |
|
|
Image Classification (HP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (Q)
|
100% |
2043
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2861
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5392
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5435
6.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
6620
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (Q)
|
87% |
2117
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (Q)
|
97% |
7442
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6101
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5987
46.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6677
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15725
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15688
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18969
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3575
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.3 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (Q)
|
91% |
118
158.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1145
19.7 IPS |