| User | NeilB |
| Upload Date | November 16 2024 10:07 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7304
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7403
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15167
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8897
144.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9640
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19067
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33323
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33362
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
133362
156.1 IPS |
|
|
Object Detection (SP)
|
100% |
8614
683.3 IPS |
|
|
Object Detection (HP)
|
100% |
8669
687.6 IPS |
|
|
Object Detection (Q)
|
88% |
18070
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
22715
269.9 IPS |
|
|
Face Detection (HP)
|
100% |
19449
231.1 IPS |
|
|
Face Detection (Q)
|
100% |
49910
593.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25800
198.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
24644
189.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
68572
543.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87448
112.4 IPS |
|
|
Style Transfer (HP)
|
100% |
86972
111.8 IPS |
|
|
Style Transfer (Q)
|
98% |
305231
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15365
567.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15971
589.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40640
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5133
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7048
121.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7764
133.7 IPS |
|
|
Machine Translation (Q)
|
85% |
7109
124.3 IPS |