Dell Inc. Precision 5520
Geekbench AI Score
1546
Single Precision Score
2238
Half Precision Score
2131
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | February 08 2025 06:36 PM |
| Views | 4 |
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% |
1000
185.9 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.7 IPS |
|
|
Image Classification (Q)
|
100% |
1371
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1881
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (HP)
|
99% |
2352
2.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
3436
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (HP)
|
99% |
1531
121.8 IPS |
|
|
Object Detection (Q)
|
88% |
1436
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
4076
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2832
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5019
38.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4608
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6065
7.80 IPS |
|
|
Style Transfer (HP)
|
100% |
9514
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8706
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2042
75.6 IPS |
|
|
Text Classification (SP)
|
71% |
600
868.6 IPS |
|
|
Text Classification (HP)
|
71% |
641
927.8 IPS |
|
|
Text Classification (Q)
|
92% |
510
685.0 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
