User | opensourceeverywhere |
Upload Date | December 12 2024 08:47 PM |
Views | 11 |
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-I GAMING WIFI |
Power Plan | Ultimative Leistung |
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 | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6408
1.19 KIPS |
|
Image Classification (HP)
|
100% |
6840
1.27 KIPS |
|
Image Classification (Q)
|
100% |
14789
2.75 KIPS |
|
Image Segmentation (SP)
|
100% |
8347
135.3 IPS |
|
Image Segmentation (HP)
|
100% |
8724
141.4 IPS |
|
Image Segmentation (Q)
|
99% |
17176
278.4 IPS |
|
Pose Estimation (SP)
|
100% |
31740
37.0 IPS |
|
Pose Estimation (HP)
|
100% |
31585
36.9 IPS |
|
Pose Estimation (Q)
|
98% |
127246
149.0 IPS |
|
Object Detection (SP)
|
100% |
7700
610.8 IPS |
|
Object Detection (HP)
|
100% |
6838
542.4 IPS |
|
Object Detection (Q)
|
88% |
16470
1.32 KIPS |
|
Face Detection (SP)
|
100% |
19281
229.1 IPS |
|
Face Detection (HP)
|
100% |
16068
190.9 IPS |
|
Face Detection (Q)
|
100% |
44707
531.2 IPS |
|
Depth Estimation (SP)
|
100% |
23142
178.3 IPS |
|
Depth Estimation (HP)
|
99% |
23954
184.6 IPS |
|
Depth Estimation (Q)
|
88% |
60719
472.4 IPS |
|
Style Transfer (SP)
|
100% |
82695
106.3 IPS |
|
Style Transfer (HP)
|
100% |
82301
105.8 IPS |
|
Style Transfer (Q)
|
98% |
299249
385.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
14265
526.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
14474
534.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
39667
1.47 KIPS |
|
Text Classification (SP)
|
100% |
5076
6.78 KIPS |
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
Text Classification (Q)
|
92% |
5395
7.25 KIPS |
|
Machine Translation (SP)
|
100% |
6615
113.9 IPS |
|
Machine Translation (HP)
|
100% |
6684
115.1 IPS |
|
Machine Translation (Q)
|
100% |
6391
110.1 IPS |