HP EliteDesk 800 G5 SFF HP HP EliteDesk 800 G5 SFF
Geekbench AI Score
1049
Single Precision Score
1209
Half Precision Score
860
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 08 2026 08:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
100% |
438
81.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
2499
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
2297
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (Q)
|
86% |
480
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
926
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1882
14.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2328
18.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1632
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6372
8.19 IPS |
|
|
Style Transfer (HP)
|
100% |
9530
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5561
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1004
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.0 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.8 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.5 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
70% |
308
5.78 IPS |
