| User | yavorsky |
| Upload Date | July 22 2025 06:03 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6210
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6246
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
15266
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7897
128.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8718
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20883
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25140
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23806
27.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
99628
116.6 IPS |
|
|
Object Detection (SP)
|
100% |
6957
551.9 IPS |
|
|
Object Detection (HP)
|
100% |
6497
515.4 IPS |
|
|
Object Detection (Q)
|
88% |
17694
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
13886
165.0 IPS |
|
|
Face Detection (HP)
|
100% |
13953
165.8 IPS |
|
|
Face Detection (Q)
|
100% |
44150
524.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18826
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18379
141.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
54526
424.3 IPS |
|
|
Style Transfer (SP)
|
100% |
64478
82.9 IPS |
|
|
Style Transfer (HP)
|
100% |
64872
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
241241
311.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12561
463.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12675
468.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33986
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
92% |
4956
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
7446
128.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7481
128.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8553
147.3 IPS |