Dell Inc. Precision 5550
Geekbench AI Score
2114
Single Precision Score
1003
Half Precision Score
2913
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sambench658 |
| Upload Date | February 22 2026 08:40 PM |
| Views | 5 |
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% |
1752
325.8 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
96% |
2146
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
2928
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
4602
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1702
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
4542
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4181
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5248
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7947
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6213
7.99 IPS |
|
|
Style Transfer (Q)
|
87% |
9211
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2518
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
626
836.2 IPS |
|
|
Text Classification (Q)
|
97% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1785
34.5 IPS |
