| User | sipos |
| Upload Date | January 22 2025 04:09 PM |
| Views | 14 |
| 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 | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | High performance |
| 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% |
6858
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6572
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
14293
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8273
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8366
135.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21765
352.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29226
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29379
34.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
114539
134.1 IPS |
|
|
Object Detection (SP)
|
100% |
8153
646.7 IPS |
|
|
Object Detection (HP)
|
100% |
7275
577.1 IPS |
|
|
Object Detection (Q)
|
88% |
17010
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
15508
184.3 IPS |
|
|
Face Detection (HP)
|
100% |
15136
179.9 IPS |
|
|
Face Detection (Q)
|
100% |
42546
505.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20689
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20134
155.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
55401
431.1 IPS |
|
|
Style Transfer (SP)
|
100% |
75551
97.1 IPS |
|
|
Style Transfer (HP)
|
100% |
77245
99.3 IPS |
|
|
Style Transfer (Q)
|
98% |
274723
354.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13780
508.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14224
525.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35893
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4700
6.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4754
6.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6135
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6305
108.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6260
107.8 IPS |