HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1416
Single Precision Score
2034
Half Precision Score
1905
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (Q)
|
100% |
1311
243.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
2130
2.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
3183
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.8 IPS |
|
|
Object Detection (HP)
|
99% |
1453
115.6 IPS |
|
|
Object Detection (Q)
|
88% |
1358
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (Q)
|
97% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2708
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4599
35.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4206
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6424
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
8323
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7138
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1709
63.3 IPS |
|
|
Text Classification (SP)
|
71% |
510
738.1 IPS |
|
|
Text Classification (HP)
|
71% |
590
852.8 IPS |
|
|
Text Classification (Q)
|
92% |
441
592.3 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
871
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
