su-OpenVINO-UHD Dell Inc. Precision 5550
Geekbench AI Score
1620
Single Precision Score
2372
Half Precision Score
2232
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | September 11 2025 04:41 AM |
| Views | 6 |
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. 0GX59H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.6 IPS |
|
|
Image Classification (Q)
|
100% |
1117
207.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
2535
2.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
3772
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
99% |
1537
122.3 IPS |
|
|
Object Detection (Q)
|
88% |
1493
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5011
59.5 IPS |
|
|
Face Detection (Q)
|
97% |
4483
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3043
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5133
39.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4614
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7741
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
10233
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9232
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2042
75.6 IPS |
|
|
Text Classification (SP)
|
71% |
550
795.1 IPS |
|
|
Text Classification (HP)
|
71% |
622
900.1 IPS |
|
|
Text Classification (Q)
|
92% |
504
677.5 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1190
20.6 IPS |
