HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
3513
Single Precision Score
3558
Half Precision Score
5226
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | July 04 2025 04:10 PM |
| Views | 5 |
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% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (Q)
|
100% |
3646
678.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4258
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4859
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
9165
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (Q)
|
87% |
3466
278.0 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
9664
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5932
45.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9844
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13053
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13543
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26170
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2786
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5406
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3051
52.6 IPS |
