Upload Date | November 17 2024 10:28 PM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 7 9800X3D 8-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D 8-Core Processor |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8457
1.57 KIPS |
|
Image Classification (HP)
|
100% |
8540
1.59 KIPS |
|
Image Classification (Q)
|
100% |
17871
3.32 KIPS |
|
Image Segmentation (SP)
|
100% |
8281
134.2 IPS |
|
Image Segmentation (HP)
|
100% |
8281
134.2 IPS |
|
Image Segmentation (Q)
|
99% |
17665
286.4 IPS |
|
Pose Estimation (SP)
|
100% |
16699
19.5 IPS |
|
Pose Estimation (HP)
|
100% |
16738
19.5 IPS |
|
Pose Estimation (Q)
|
98% |
68005
79.6 IPS |
|
Object Detection (SP)
|
100% |
8549
678.1 IPS |
|
Object Detection (HP)
|
100% |
7673
608.6 IPS |
|
Object Detection (Q)
|
88% |
19257
1.54 KIPS |
|
Face Detection (SP)
|
100% |
23829
283.1 IPS |
|
Face Detection (HP)
|
100% |
23940
284.5 IPS |
|
Face Detection (Q)
|
100% |
48844
580.4 IPS |
|
Depth Estimation (SP)
|
100% |
22103
170.3 IPS |
|
Depth Estimation (HP)
|
99% |
20836
160.5 IPS |
|
Depth Estimation (Q)
|
88% |
58490
455.1 IPS |
|
Style Transfer (SP)
|
100% |
48066
61.8 IPS |
|
Style Transfer (HP)
|
100% |
48480
62.3 IPS |
|
Style Transfer (Q)
|
98% |
170072
219.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
10245
378.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
10674
394.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
30781
1.14 KIPS |
|
Text Classification (SP)
|
100% |
6403
8.55 KIPS |
|
Text Classification (HP)
|
100% |
6325
8.44 KIPS |
|
Text Classification (Q)
|
92% |
8521
11.4 KIPS |
|
Machine Translation (SP)
|
100% |
8644
148.9 IPS |
|
Machine Translation (HP)
|
100% |
8708
150.0 IPS |
|
Machine Translation (Q)
|
100% |
9816
169.1 IPS |