Dell Inc. Precision 5520
Geekbench AI Score
1566
Single Precision Score
2247
Half Precision Score
2055
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | September 07 2024 07:03 AM |
| Views | 3 |
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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (Q)
|
100% |
1385
257.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1845
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2507
2.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
2309
2.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
3376
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
99% |
1572
125.0 IPS |
|
|
Object Detection (Q)
|
88% |
1400
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (Q)
|
97% |
2851
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2726
21.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4962
38.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4562
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7059
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
9479
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8419
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1987
73.6 IPS |
|
|
Text Classification (SP)
|
71% |
638
922.7 IPS |
|
|
Text Classification (HP)
|
71% |
720
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
564
757.9 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
97% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
908
15.7 IPS |
