Dell Inc. Precision 5550
Geekbench AI Score
2003
Single Precision Score
1010
Half Precision Score
2934
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sambench658 |
| Upload Date | February 22 2026 07:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| 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% |
1797
334.2 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
96% |
2432
454.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
4180
4.94 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
58% |
1687
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
4619
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4019
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5553
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7872
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (Q)
|
87% |
9401
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1285
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2469
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
618
825.0 IPS |
|
|
Text Classification (Q)
|
97% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1741
33.6 IPS |
