HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3451
Single Precision Score
3495
Half Precision Score
5032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 24 2025 09:55 AM |
| Views | 3 |
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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (Q)
|
100% |
3272
608.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4043
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4764
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
9223
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
2139
169.7 IPS |
|
|
Object Detection (Q)
|
87% |
3453
276.9 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (Q)
|
97% |
9341
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5757
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5802
44.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9617
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13051
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12203
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25806
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5223
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2654
45.7 IPS |
