| Upload Date | November 12 2024 04:00 AM |
| Views | 4 |
| 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 STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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% |
6967
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7043
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
15750
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8496
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8660
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18199
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31035
36.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30811
36.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
123449
144.5 IPS |
|
|
Object Detection (SP)
|
100% |
7915
627.8 IPS |
|
|
Object Detection (HP)
|
100% |
8767
695.4 IPS |
|
|
Object Detection (Q)
|
88% |
19043
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
20711
246.1 IPS |
|
|
Face Detection (HP)
|
100% |
19130
227.3 IPS |
|
|
Face Detection (Q)
|
100% |
46807
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23596
181.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24230
186.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66287
515.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81569
104.9 IPS |
|
|
Style Transfer (HP)
|
100% |
82219
105.7 IPS |
|
|
Style Transfer (Q)
|
98% |
286595
369.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14759
545.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14801
546.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39308
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5073
6.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6302
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7199
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7437
128.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7195
123.9 IPS |