Dell Inc. Precision 7550
Geekbench AI Score
1654
Single Precision Score
2438
Half Precision Score
2320
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Headscarf1445 |
| Upload Date | January 31 2026 08:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1053
195.8 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.8 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2053
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
2360
2.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
3490
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
99% |
1650
131.2 IPS |
|
|
Object Detection (Q)
|
88% |
1537
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (Q)
|
97% |
4261
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2985
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5141
39.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4743
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7292
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
9193
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8272
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
78.0 IPS |
|
|
Text Classification (SP)
|
71% |
673
974.1 IPS |
|
|
Text Classification (HP)
|
71% |
868
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
623
836.3 IPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1329
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1318
22.8 IPS |
