| Upload Date | November 11 2025 04:25 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M K |
| Motherboard | Gigabyte Technology Co., Ltd. B650M K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3911
727.3 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
99% |
8587
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10420
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7269
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6222
7.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
26887
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
8559
687.9 IPS |
|
|
Face Detection (SP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
11033
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9885
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2941
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11293
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17661
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15170
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30301
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6393
236.7 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2606
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3646
73.3 IPS |