User | inc7007 |
Upload Date | April 20 2025 08:43 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon R5 Graphics |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | HP HP EliteDesk 705 G3 Desktop Mini |
Motherboard | HP 8266 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD PRO A6-9500E R5, 6 COMPUTE CORES 2C+4G |
Topology | 1 Processor, 2 Cores |
Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
Base Frequency | 3.00 GHz |
Cluster 1 | 2 Cores |
Memory Information | |
---|---|
Size | 8.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
255
47.4 IPS |
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
Image Classification (Q)
|
100% |
222
41.3 IPS |
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
Image Segmentation (Q)
|
98% |
297
4.83 IPS |
|
Pose Estimation (SP)
|
100% |
4299
5.02 IPS |
|
Pose Estimation (HP)
|
100% |
4316
5.04 IPS |
|
Pose Estimation (Q)
|
96% |
3442
4.03 IPS |
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
Object Detection (Q)
|
85% |
261
21.0 IPS |
|
Face Detection (SP)
|
100% |
600
7.12 IPS |
|
Face Detection (HP)
|
100% |
637
7.57 IPS |
|
Face Detection (Q)
|
97% |
494
5.89 IPS |
|
Depth Estimation (SP)
|
100% |
1478
11.4 IPS |
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
Depth Estimation (Q)
|
78% |
1182
9.44 IPS |
|
Style Transfer (SP)
|
100% |
6266
8.05 IPS |
|
Style Transfer (HP)
|
100% |
6651
8.55 IPS |
|
Style Transfer (Q)
|
98% |
4959
6.39 IPS |
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
1548
57.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
915
33.9 IPS |
|
Text Classification (SP)
|
100% |
329
439.2 IPS |
|
Text Classification (HP)
|
100% |
350
467.1 IPS |
|
Text Classification (Q)
|
97% |
192
257.4 IPS |
|
Machine Translation (SP)
|
100% |
524
9.03 IPS |
|
Machine Translation (HP)
|
96% |
577
9.98 IPS |
|
Machine Translation (Q)
|
70% |
232
4.34 IPS |