Dell Inc. Precision 7550
Geekbench AI Score
2350
Single Precision Score
2348
Half Precision Score
3230
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Headscarf1445 |
| Upload Date | January 31 2026 08:36 PM |
| Views | 4 |
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 Professionnel (64-bit) |
| Model | Dell Inc. Precision 7550 |
| Motherboard | Dell Inc. 090NVT |
| Power Plan | Utilisation normale |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (Q)
|
100% |
2127
395.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
5049
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (Q)
|
87% |
2165
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
6008
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3614
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3658
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5791
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8534
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8578
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14463
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2888
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
91% |
679
912.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2195
37.8 IPS |
