| User | x5ga |
| Upload Date | August 16 2024 09:50 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| 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% |
5443
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5604
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
11366
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5382
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5426
88.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11467
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17145
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17293
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
68189
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
5964
473.1 IPS |
|
|
Object Detection (HP)
|
100% |
5996
475.6 IPS |
|
|
Object Detection (Q)
|
88% |
13629
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
14558
173.0 IPS |
|
|
Face Detection (HP)
|
100% |
14720
174.9 IPS |
|
|
Face Detection (Q)
|
100% |
35090
416.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17637
135.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
17415
134.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
45306
359.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44583
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44795
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
157511
203.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8646
319.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8782
324.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24694
914.5 IPS |
|
|
Text Classification (SP)
|
100% |
4175
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4501
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (Q)
|
85% |
5637
98.5 IPS |