| User | domdtxdissar |
| Upload Date | September 19 2024 08:04 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5479
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5204
967.8 IPS |
|
|
Image Classification (Q)
|
100% |
11641
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5224
84.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5323
86.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11249
182.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17467
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16974
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66406
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
5797
459.9 IPS |
|
|
Object Detection (HP)
|
100% |
5790
459.3 IPS |
|
|
Object Detection (Q)
|
88% |
12680
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
15403
183.0 IPS |
|
|
Face Detection (HP)
|
100% |
15265
181.4 IPS |
|
|
Face Detection (Q)
|
100% |
36026
428.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18277
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18207
140.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
41912
326.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42881
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42219
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
147133
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8686
320.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8637
318.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24296
899.8 IPS |
|
|
Text Classification (SP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4712
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5531
95.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5673
97.7 IPS |