| User | f180n4cc1 |
| Upload Date | April 08 2025 02:26 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5375
999.6 IPS |
|
|
Image Classification (HP)
|
100% |
5352
995.4 IPS |
|
|
Image Classification (Q)
|
100% |
13949
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7368
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7297
118.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20614
334.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16880
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16912
19.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
66015
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
6148
487.6 IPS |
|
|
Object Detection (HP)
|
100% |
6122
485.6 IPS |
|
|
Object Detection (Q)
|
88% |
14787
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
15320
182.0 IPS |
|
|
Face Detection (HP)
|
100% |
15313
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
35604
423.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17526
135.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17524
135.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
47728
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43372
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43579
56.0 IPS |
|
|
Style Transfer (Q)
|
98% |
154684
199.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8749
323.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8817
325.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24235
897.5 IPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6430
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6401
110.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6746
116.2 IPS |