| User | domdtxdissar |
| Upload Date | September 19 2024 08:20 PM |
| Views | 11 |
| 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% |
5319
989.2 IPS |
|
|
Image Classification (HP)
|
100% |
5341
993.3 IPS |
|
|
Image Classification (Q)
|
100% |
11297
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5367
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5526
89.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10934
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16268
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16282
19.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
64191
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
5912
468.9 IPS |
|
|
Object Detection (HP)
|
100% |
5883
466.6 IPS |
|
|
Object Detection (Q)
|
88% |
13061
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
15711
186.7 IPS |
|
|
Face Detection (HP)
|
100% |
16153
191.9 IPS |
|
|
Face Detection (Q)
|
100% |
36785
437.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17550
135.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17387
134.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
44254
344.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42127
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41905
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
152273
196.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8251
304.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8283
305.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24449
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5531
95.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5615
96.7 IPS |