Dell Inc. Precision 5550
Geekbench AI Score
2015
Single Precision Score
2427
Half Precision Score
1454
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:45 PM |
| Views | 7 |
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% |
893
166.1 IPS |
|
|
Image Classification (HP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
856
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6646
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
7572
8.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
5350
6.27 IPS |
|
|
Object Detection (SP)
|
100% |
1057
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (Q)
|
83% |
903
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
1324
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4425
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5461
42.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
3307
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16716
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15002
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
12093
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1644
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.4 IPS |
|
|
Text Classification (HP)
|
100% |
542
723.0 IPS |
|
|
Text Classification (Q)
|
97% |
415
556.1 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
999
17.3 IPS |
|
|
Machine Translation (Q)
|
70% |
365
6.85 IPS |
