HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3645
Single Precision Score
3653
Half Precision Score
5339
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 26 2025 10:22 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% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (Q)
|
100% |
3668
682.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4293
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4861
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4887
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
9330
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (Q)
|
87% |
3619
290.3 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
97% |
9894
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5957
45.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9851
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13452
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13412
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26813
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5360
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (Q)
|
91% |
799
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3168
54.6 IPS |
