| User | jordatech |
| Upload Date | April 14 2026 10:07 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11950H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 0H3D01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
99% |
4271
796.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
4570
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
11690
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
86% |
3988
320.5 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5990
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4027
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9294
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7375
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
6403
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
13216
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
592
790.5 IPS |
|
|
Text Classification (Q)
|
97% |
964
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1848
37.1 IPS |