Dell Inc. Precision 5550
Geekbench AI Score
2991
Single Precision Score
2982
Half Precision Score
4383
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jules88 |
| Upload Date | March 23 2026 10:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 00M55X |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (Q)
|
100% |
2933
545.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3789
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3681
4.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
7121
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (Q)
|
87% |
3074
246.5 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
8311
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4562
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4693
36.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
7983
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10780
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10876
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20922
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4540
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (Q)
|
91% |
717
964.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2659
45.8 IPS |
