Dell Inc. Precision 5550
Geekbench AI Score
2724
Single Precision Score
2726
Half Precision Score
3919
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sambench658 |
| Upload Date | February 22 2026 08:14 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 |
| 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% |
1759
327.0 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
100% |
2581
479.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3031
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
6209
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (Q)
|
87% |
2712
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
7403
88.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4142
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4202
32.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
7104
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9383
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9657
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18495
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3880
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
1692
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
655
880.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2476
42.6 IPS |
