Dell Inc. Precision 5520
Geekbench AI Score
1594
Single Precision Score
2245
Half Precision Score
2132
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | August 27 2024 07:52 AM |
| 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% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (Q)
|
100% |
1378
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1901
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (HP)
|
99% |
2346
2.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
3477
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
99% |
1556
123.8 IPS |
|
|
Object Detection (Q)
|
88% |
1412
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (Q)
|
97% |
3893
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2965
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5085
39.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
4520
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7205
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
9589
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8611
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.2 IPS |
|
|
Text Classification (SP)
|
71% |
635
919.0 IPS |
|
|
Text Classification (HP)
|
71% |
742
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
564
757.2 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
97% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
90% |
858
14.9 IPS |
