| User | SAVTECH |
| Upload Date | February 13 2026 03:26 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2145 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 06JWJY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2145 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.6 IPS |
|
|
Image Classification (Q)
|
96% |
4188
782.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5436
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9641
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7054
8.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
13952
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
58% |
3048
333.1 IPS |
|
|
Face Detection (SP)
|
100% |
4091
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
7248
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9819
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1590
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9325
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19948
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13355
17.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15608
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3809
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.5 IPS |
|
|
Text Classification (Q)
|
97% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
68% |
1715
33.1 IPS |