HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
2506
Single Precision Score
2507
Half Precision Score
3692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 21 2025 07:43 PM |
| Views | 4 |
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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.4 IPS |
|
|
Image Classification (Q)
|
100% |
2286
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2964
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3696
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3792
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
7379
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (Q)
|
87% |
2360
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (Q)
|
97% |
6341
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3923
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3893
30.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6563
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10040
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9957
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19050
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3752
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (Q)
|
91% |
624
838.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2154
37.1 IPS |
