HP HP EliteDesk 800 G3 DM 65W
Geekbench AI Score
1548
Single Precision Score
731
Half Precision Score
2033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 09 2025 11:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 DM 65W |
| Motherboard | HP 829A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
3995
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
1216
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.81 IPS |
|
|
Face Detection (Q)
|
96% |
3324
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2890
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
999
7.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
3862
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5579
7.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4332
5.57 IPS |
|
|
Style Transfer (Q)
|
87% |
6984
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1426
52.8 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
455
608.0 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
