HP HP EliteDesk 800 G4 SFF
Geekbench AI Score
1315
Single Precision Score
1940
Half Precision Score
1831
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | December 15 2024 05:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 SFF |
| Motherboard | HP 83E1 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
844
156.9 IPS |
|
|
Image Classification (HP)
|
100% |
1319
245.2 IPS |
|
|
Image Classification (Q)
|
100% |
1204
223.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1581
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
2072
2.43 IPS |
|
|
Pose Estimation (Q)
|
97% |
2750
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (HP)
|
99% |
1296
103.1 IPS |
|
|
Object Detection (Q)
|
88% |
1218
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (Q)
|
97% |
3512
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4134
31.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
3748
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5485
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
7553
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6611
8.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1704
63.1 IPS |
|
|
Text Classification (SP)
|
71% |
557
806.0 IPS |
|
|
Text Classification (HP)
|
71% |
657
949.9 IPS |
|
|
Text Classification (Q)
|
92% |
517
694.8 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
97% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
