| User | 9MD |
| Upload Date | December 17 2025 02:14 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
6205
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7291
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5091
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
19131
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
6146
494.0 IPS |
|
|
Face Detection (SP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9363
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14182
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12947
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10436
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24678
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5387
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1382
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2368
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3429
68.9 IPS |