Dell Inc. Precision 5520
Geekbench AI Score
911
Single Precision Score
1057
Half Precision Score
717
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | November 20 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| 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% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3616
4.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
2079
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
98% |
450
35.8 IPS |
|
|
Object Detection (Q)
|
89% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
665
7.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
1623
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2001
15.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
1343
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5673
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
8716
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5033
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.3 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.3 IPS |
|
|
Text Classification (Q)
|
97% |
289
386.6 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
60% |
232
5.17 IPS |
