HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
2625
Single Precision Score
1068
Half Precision Score
3406
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 08 2025 03:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.4 IPS |
|
|
Image Classification (Q)
|
96% |
3192
596.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1963
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3740
4.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
8363
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
2151
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5473
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1419
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7089
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10908
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8693
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11841
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2174
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
591
788.5 IPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1776
34.3 IPS |
