| User | tragazzini |
| Upload Date | August 11 2025 11:36 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4123
766.7 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (Q)
|
99% |
8574
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11635
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8390
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
34460
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4021
318.9 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.1 IPS |
|
|
Object Detection (Q)
|
86% |
9257
744.0 IPS |
|
|
Face Detection (SP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
11523
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10917
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2732
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21399
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21665
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18018
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36595
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4568
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3826
76.9 IPS |