| User | TAY-REMEMBERED |
| Upload Date | November 26 2025 10:31 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
96% |
3021
564.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1943
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4478
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3645
4.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
8210
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
58% |
1952
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5204
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7029
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10695
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11698
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2096
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1807
34.9 IPS |