Dell Inc. Precision 5550
Geekbench AI Score
2698
Single Precision Score
2708
Half Precision Score
3862
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sambench658 |
| Upload Date | February 22 2026 07:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10850H CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0V6K79 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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% |
1778
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (Q)
|
100% |
2646
492.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
6145
7.21 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (Q)
|
87% |
2561
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
7515
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4102
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4166
32.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6922
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8977
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9501
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17981
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3767
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (Q)
|
91% |
636
855.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2463
42.4 IPS |
