HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
2656
Single Precision Score
2589
Half Precision Score
3866
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 24 2025 10:28 AM |
| Views | 10 |
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% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.3 IPS |
|
|
Image Classification (Q)
|
100% |
2945
547.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2655
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4210
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
6688
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (Q)
|
87% |
2146
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
97% |
5486
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3381
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3570
27.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
8369
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12083
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12178
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18017
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1729
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4644
172.0 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
91% |
608
816.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2848
49.1 IPS |
