| Upload Date | November 08 2025 08:48 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6028
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
1059
197.0 IPS |
|
|
Image Classification (Q)
|
99% |
11890
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4671
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12305
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8625
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
38931
45.6 IPS |
|
|
Object Detection (SP)
|
100% |
5631
446.7 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (Q)
|
86% |
11799
948.3 IPS |
|
|
Face Detection (SP)
|
100% |
9978
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
13359
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14867
114.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4078
31.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26165
208.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27586
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19893
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36140
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6490
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5476
110.0 IPS |