| User | 98Fengyu |
| Upload Date | November 12 2025 01:51 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| 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% |
4732
880.0 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
99% |
3763
701.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6478
105.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3101
50.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5589
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
60032
70.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7153
8.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
51035
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
5480
434.7 IPS |
|
|
Object Detection (HP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (Q)
|
84% |
4387
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
13475
160.1 IPS |
|
|
Face Detection (HP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (Q)
|
97% |
11393
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31693
244.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7069
54.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
22200
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
106226
136.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14680
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88948
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17805
657.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11265
417.1 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1549
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1070
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1096
20.6 IPS |