HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
2602
Single Precision Score
2734
Half Precision Score
3712
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 24 2025 10:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.8 IPS |
|
|
Image Classification (Q)
|
100% |
2132
396.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4700
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
9065
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (Q)
|
87% |
2062
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (Q)
|
97% |
5716
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3617
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3639
28.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5893
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9473
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12561
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21419
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3408
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
687
923.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2965
51.1 IPS |
