| User | AdamOp |
| Upload Date | November 11 2025 06:29 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 215 w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1a Desktop PC |
| Motherboard | HP 8DAB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 215 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1838
341.7 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
99% |
5174
965.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5564
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
14438
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
5261
422.8 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6407
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5243
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1854
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6136
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9301
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13983
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4675
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1263
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2727
54.8 IPS |