Dell Inc. Precision 5550
Geekbench AI Score
961
Single Precision Score
475
Half Precision Score
1705
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0V6K79 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
2645
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
58% |
1043
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (Q)
|
96% |
2476
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
2553
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2699
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1872
2.41 IPS |
|
|
Style Transfer (Q)
|
87% |
4341
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1536
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.3 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.4 IPS |
|
|
Text Classification (Q)
|
97% |
631
845.5 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1150
22.2 IPS |
