| User | NeilB |
| Upload Date | September 24 2024 10:16 AM |
| Views | 15 |
| 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% |
7330
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7810
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15795
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9087
147.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9729
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18155
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
33343
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33661
39.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
130636
152.9 IPS |
|
|
Object Detection (SP)
|
100% |
7160
567.9 IPS |
|
|
Object Detection (HP)
|
100% |
6909
548.0 IPS |
|
|
Object Detection (Q)
|
88% |
18730
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
17374
206.4 IPS |
|
|
Face Detection (HP)
|
100% |
17925
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
47032
558.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22725
175.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
23511
181.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
57157
453.0 IPS |
|
|
Style Transfer (SP)
|
100% |
85683
110.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85185
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
307427
396.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14969
552.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15116
558.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39886
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5271
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
92% |
6012
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
7527
129.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7278
125.4 IPS |
|
|
Machine Translation (Q)
|
85% |
7052
123.3 IPS |