HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3701
Single Precision Score
3727
Half Precision Score
5446
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | April 23 2025 03:48 PM |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
2324
432.3 IPS |
|
|
Image Classification (Q)
|
100% |
3673
683.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4293
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5041
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
9531
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (Q)
|
87% |
3661
293.6 IPS |
|
|
Face Detection (SP)
|
100% |
4208
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
9954
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6120
47.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
10223
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13796
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13819
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27678
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2975
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3015
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5640
208.9 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
91% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2952
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3292
56.7 IPS |
