| User | oldnick |
| Upload Date | July 13 2025 03:16 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0V4JDG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3772
701.5 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
99% |
6230
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3583
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4165
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
28921
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3486
276.5 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
6185
497.1 IPS |
|
|
Face Detection (SP)
|
100% |
10085
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
10340
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10783
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1775
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14785
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10291
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24954
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.5 IPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3588
72.1 IPS |