| Upload Date | October 28 2025 10:47 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 WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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% |
6027
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
1043
193.9 IPS |
|
|
Image Classification (Q)
|
99% |
12004
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4809
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11737
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9073
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
39519
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
5432
430.8 IPS |
|
|
Object Detection (HP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (Q)
|
86% |
11856
952.9 IPS |
|
|
Face Detection (SP)
|
100% |
9225
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
13237
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14425
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3944
30.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26718
213.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26424
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20080
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34656
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6349
235.1 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2664
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5215
104.8 IPS |