HP EliteDesk 800 G5 SFF HP HP EliteDesk 800 G5 SFF
Geekbench AI Score
2697
Single Precision Score
1152
Half Precision Score
3757
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 08 2026 08:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteDesk 800 G5 SFF |
| Motherboard | HP 8592 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2174
404.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
96% |
3050
569.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
3667
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4751
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3773
4.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
7939
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
58% |
2115
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5424
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6992
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10925
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8481
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11584
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3040
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
714
952.4 IPS |
|
|
Text Classification (Q)
|
97% |
1080
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2072
40.0 IPS |
