Dell Inc. Precision 5550
Geekbench AI Score
938
Single Precision Score
1183
Half Precision Score
1383
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 08:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
988
183.8 IPS |
|
|
Image Classification (Q)
|
100% |
690
128.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1316
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
1160
1.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
1798
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
99% |
485
38.6 IPS |
|
|
Object Detection (Q)
|
88% |
782
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1719
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1921
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3719
28.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
2352
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5766
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7009
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
5211
6.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1877
69.5 IPS |
|
|
Text Classification (SP)
|
71% |
472
683.3 IPS |
|
|
Text Classification (HP)
|
71% |
49
71.4 IPS |
|
|
Text Classification (Q)
|
92% |
427
573.6 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
99% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1189
20.5 IPS |
