Dell Inc. Precision 5550
Geekbench AI Score
1151
Single Precision Score
538
Half Precision Score
1738
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:29 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 |
| 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% |
833
154.8 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.7 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1283
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
2314
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
58% |
744
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (Q)
|
96% |
2970
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1995
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
3300
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4790
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3743
4.81 IPS |
|
|
Style Transfer (Q)
|
87% |
7363
9.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1407
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
726
968.8 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.8 IPS |
|
|
Text Classification (Q)
|
97% |
705
944.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
68% |
960
18.5 IPS |
