Dell Inc. Precision 5550
Geekbench AI Score
2640
Single Precision Score
2717
Half Precision Score
3850
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sambench658 |
| Upload Date | February 22 2026 08:01 PM |
| Views | 4 |
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% |
1718
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
1778
330.6 IPS |
|
|
Image Classification (Q)
|
100% |
2468
459.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3199
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
6167
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (Q)
|
87% |
2639
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
7266
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3617
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4135
31.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7037
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8625
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9573
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18178
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3767
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1727
2.31 KIPS |
|
|
Text Classification (Q)
|
91% |
637
856.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2502
43.1 IPS |
