HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
1795
Single Precision Score
2589
Half Precision Score
2450
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 15 2025 07:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1106
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (Q)
|
100% |
1557
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
2547
2.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
3809
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
99% |
1778
141.4 IPS |
|
|
Object Detection (Q)
|
88% |
1644
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
4677
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3294
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5599
43.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
5093
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7917
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10548
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9582
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
71% |
719
1.04 KIPS |
|
|
Text Classification (HP)
|
71% |
853
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
608
816.6 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
97% |
1140
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1127
19.5 IPS |
