| User | 98Fengyu |
| Upload Date | November 12 2025 02:24 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000263-30_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000263-30_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
96% |
4507
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
5283
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
9754
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
58% |
3010
328.9 IPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
7423
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1870
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9855
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11068
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8876
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14908
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3730
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2277
44.0 IPS |