| User | gethen |
| Upload Date | June 11 2025 02:02 PM |
| Views | 9 |
| 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. B850I AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B850I AORUS PRO |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2860
531.9 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (Q)
|
99% |
7555
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3732
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5361
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4587
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
21263
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
8354
671.4 IPS |
|
|
Face Detection (SP)
|
100% |
7092
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10338
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7384
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2473
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18019
143.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13206
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11506
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26529
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4243
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4532
91.1 IPS |