HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3558
Single Precision Score
3587
Half Precision Score
5192
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 01:13 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% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.1 IPS |
|
|
Image Classification (Q)
|
100% |
3548
659.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4849
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4871
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
9202
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (Q)
|
87% |
3462
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (Q)
|
97% |
9631
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5848
45.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
9498
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13340
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13010
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26573
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5140
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (Q)
|
91% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3088
53.2 IPS |
