| User | datamushroom |
| Upload Date | September 20 2025 01:51 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13850HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 0GVYHR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2901
539.5 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (Q)
|
99% |
4845
903.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2929
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6450
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
23382
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
5166
415.2 IPS |
|
|
Face Detection (SP)
|
100% |
8037
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8267
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12980
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16203
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8455
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22887
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3551
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
521
694.9 IPS |
|
|
Text Classification (Q)
|
97% |
1203
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |