HP HP EliteDesk 800 G4 SFF
Geekbench AI Score
1770
Single Precision Score
831
Half Precision Score
2012
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | December 15 2024 05:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 SFF |
| Motherboard | HP 83E1 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
1865
348.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1046
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2310
2.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
4872
5.76 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1234
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.69 IPS |
|
|
Face Detection (Q)
|
96% |
3607
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3531
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1132
8.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
4700
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6750
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5146
6.61 IPS |
|
|
Style Transfer (Q)
|
87% |
8118
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1629
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.6 IPS |
|
|
Text Classification (Q)
|
97% |
337
452.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1231
23.8 IPS |
