Dell Inc. Precision 5550
Geekbench AI Score
854
Single Precision Score
855
Half Precision Score
1005
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:37 PM |
| Views | 8 |
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 |
| 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% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
100% |
1269
236.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
920
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1249
1.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
1899
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
279
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
97% |
1095
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
615
4.74 IPS |
|
|
Depth Estimation (Q)
|
81% |
3148
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2244
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2805
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6861
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1231
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.3 IPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
91% |
115
154.4 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
100% |
512
8.82 IPS |
