| Upload Date | February 09 2026 04:13 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (HP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (Q)
|
99% |
12383
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12530
203.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8675
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
32799
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3918
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (Q)
|
86% |
12078
970.7 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12243
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9896
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2849
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20614
164.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19943
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17458
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14606
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7022
260.0 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2499
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5309
106.7 IPS |