| User | IronLad84 |
| Upload Date | February 26 2025 11:22 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7838
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7863
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15439
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9240
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9186
148.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22199
359.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24915
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25097
29.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
98679
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8145
646.1 IPS |
|
|
Object Detection (HP)
|
100% |
8406
666.7 IPS |
|
|
Object Detection (Q)
|
88% |
17405
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
18485
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
18755
222.9 IPS |
|
|
Face Detection (Q)
|
100% |
48356
574.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22787
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22872
176.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
57887
450.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64865
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64940
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233185
300.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12895
476.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12964
478.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34960
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
5072
6.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5086
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6080
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
7300
125.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7271
125.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7355
126.7 IPS |