Dell Inc. Precision 5520
Geekbench AI Score
1581
Single Precision Score
2281
Half Precision Score
2082
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | November 20 2025 01:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5520 |
| Motherboard | Dell Inc. 0R6JFH |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.2 IPS |
|
|
Image Classification (Q)
|
100% |
1381
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1932
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
2324
2.72 IPS |
|
|
Pose Estimation (Q)
|
97% |
3476
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
99% |
1559
124.0 IPS |
|
|
Object Detection (Q)
|
88% |
1459
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
4257
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5022
38.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
2901
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6787
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
9581
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8593
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
71% |
642
929.1 IPS |
|
|
Text Classification (HP)
|
71% |
740
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
565
759.5 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
929
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
