Dell Inc. Precision 5550
Geekbench AI Score
1919
Single Precision Score
2304
Half Precision Score
1293
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro T1000 |
| 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% |
900
167.4 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (Q)
|
99% |
637
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
855
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6619
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7615
8.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
4803
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (Q)
|
83% |
906
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
1255
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4395
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5336
41.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
3239
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16414
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14254
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11833
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1432
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
487
649.4 IPS |
|
|
Text Classification (HP)
|
100% |
482
642.8 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.8 IPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
98% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
70% |
199
3.74 IPS |
