| Upload Date | November 20 2025 10:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4738
881.1 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (Q)
|
99% |
9425
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4413
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
7302
8.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
30094
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4339
344.2 IPS |
|
|
Object Detection (HP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (Q)
|
86% |
9829
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
9271
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
11847
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11752
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3273
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20664
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20366
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16858
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33252
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5130
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2323
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4915
98.8 IPS |