Dell Inc. Precision 5520
Geekbench AI Score
898
Single Precision Score
1038
Half Precision Score
718
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PanisSupraOmnia |
| Upload Date | August 22 2024 10:15 PM |
| Views | 5 |
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 | Balanced |
| 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% |
350
65.0 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
345
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3608
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
98% |
443
35.3 IPS |
|
|
Object Detection (Q)
|
89% |
401
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
663
7.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1620
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
1385
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5817
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
8645
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5029
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
892
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (Q)
|
97% |
277
371.6 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
60% |
226
5.03 IPS |
