HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3771
Single Precision Score
3761
Half Precision Score
5437
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 20 2025 02:01 PM |
| Views | 5 |
| Notes | balance those E-Core VM's |
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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
2332
433.6 IPS |
|
|
Image Classification (Q)
|
100% |
3725
692.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4251
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5136
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5133
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
9669
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (Q)
|
87% |
3629
291.1 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (Q)
|
97% |
9881
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6159
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6218
47.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9939
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14007
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13863
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27980
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2985
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5622
208.2 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
91% |
812
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3243
55.9 IPS |
