| User | barmanracing |
| Upload Date | February 07 2026 12:42 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3631
675.3 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
6612
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9621
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7717
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4946
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
25531
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3457
274.2 IPS |
|
|
Object Detection (HP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (Q)
|
86% |
6721
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
8770
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
10148
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9765
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2506
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15958
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17762
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12153
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23581
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3356
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5840
216.3 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3367
67.7 IPS |