Dell Inc. Precision 5550
Geekbench AI Score
656
Single Precision Score
699
Half Precision Score
1073
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | samsoft67 |
| Upload Date | December 20 2025 07:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10850H CPU @ 2.70GHz |
| 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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
100% |
550
102.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
600
9.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1020
1.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
1497
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
87% |
1164
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
815
9.69 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
3088
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1015
7.82 IPS |
|
|
Depth Estimation (Q)
|
81% |
1548
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2779
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3448
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
7857
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1160
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
595
793.6 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.5 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
100% |
318
5.47 IPS |
