Dell Inc. Precision 7550
Geekbench AI Score
965
Single Precision Score
1122
Half Precision Score
781
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Headscarf1445 |
| Upload Date | January 31 2026 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision 7550 |
| Motherboard | Dell Inc. 090NVT |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
100% |
417
77.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2049
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (HP)
|
98% |
497
39.6 IPS |
|
|
Object Detection (Q)
|
86% |
449
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
803
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2122
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1481
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5762
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8660
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4958
6.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
906
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.6 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.5 IPS |
|
|
Text Classification (Q)
|
97% |
294
394.4 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
70% |
282
5.29 IPS |
