| User | ldilov |
| Upload Date | August 15 2024 06:09 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5666
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5424
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12058
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5470
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5529
89.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11526
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16276
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15997
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
64457
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
6023
477.7 IPS |
|
|
Object Detection (HP)
|
100% |
5906
468.5 IPS |
|
|
Object Detection (Q)
|
88% |
13449
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
14758
175.4 IPS |
|
|
Face Detection (HP)
|
100% |
15681
186.3 IPS |
|
|
Face Detection (Q)
|
100% |
38178
453.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16522
127.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
16375
126.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
44827
355.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42845
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43402
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
157096
202.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8263
305.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8663
319.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25718
952.4 IPS |
|
|
Text Classification (SP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5138
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5327
91.8 IPS |
|
|
Machine Translation (Q)
|
85% |
5757
100.6 IPS |