HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
1036
Single Precision Score
1042
Half Precision Score
848
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 15 2025 09:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.8 IPS |
|
|
Image Classification (HP)
|
100% |
920
171.0 IPS |
|
|
Image Classification (Q)
|
99% |
466
86.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
657
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1653
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (Q)
|
85% |
629
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
1287
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1075
8.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1074
8.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
1204
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1265
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1266
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2892
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
415
557.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
58% |
345
8.09 IPS |
