HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3351
Single Precision Score
3413
Half Precision Score
4969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 11 2025 11:24 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
100% |
3374
627.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3845
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4714
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
8916
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (Q)
|
87% |
3348
268.5 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
9086
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5629
43.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9148
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12913
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12655
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25032
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2631
97.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5004
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2933
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2883
49.7 IPS |
