Dell Inc. Precision 5520
Geekbench AI Score
1578
Single Precision Score
2266
Half Precision Score
2144
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PanisSupraOmnia |
| Upload Date | August 22 2024 09:58 PM |
| Views | 5 |
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 | 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% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
1491
277.3 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1941
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2548
2.97 IPS |
|
|
Pose Estimation (HP)
|
99% |
2340
2.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
3481
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.4 IPS |
|
|
Object Detection (HP)
|
99% |
1547
123.1 IPS |
|
|
Object Detection (Q)
|
88% |
1451
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
4071
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2926
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5031
38.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
4480
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7168
9.22 IPS |
|
|
Style Transfer (HP)
|
100% |
9610
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8469
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2042
75.6 IPS |
|
|
Text Classification (SP)
|
71% |
618
894.6 IPS |
|
|
Text Classification (HP)
|
71% |
713
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
542
728.3 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
936
16.2 IPS |
|
|
Machine Translation (Q)
|
90% |
910
15.8 IPS |
