| User | dot-bob |
| Upload Date | September 25 2025 01:57 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5257
977.7 IPS |
|
|
Image Classification (HP)
|
100% |
5194
965.9 IPS |
|
|
Image Classification (Q)
|
100% |
13227
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7153
116.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7166
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19583
317.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16198
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16410
19.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
64645
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
5785
458.9 IPS |
|
|
Object Detection (HP)
|
100% |
5762
457.1 IPS |
|
|
Object Detection (Q)
|
88% |
14258
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
13445
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
13879
164.9 IPS |
|
|
Face Detection (Q)
|
100% |
35586
422.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14666
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14790
113.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
42567
331.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41813
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41867
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
148265
191.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8383
309.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8588
317.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24014
889.3 IPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5789
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5741
98.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6348
109.4 IPS |