[2017] Mini PC: HP ProDesk 600 G3 DM HP HP ProDesk 600 G3 DM
Geekbench AI Score
1426
Single Precision Score
692
Half Precision Score
1868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 22 2025 03:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | HP HP ProDesk 600 G3 DM |
| Motherboard | HP 829E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1063
197.7 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1075
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
3845
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
58% |
1103
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (Q)
|
96% |
2945
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2783
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
3604
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5384
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4162
5.35 IPS |
|
|
Style Transfer (Q)
|
87% |
6668
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1311
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.9 IPS |
|
|
Text Classification (Q)
|
97% |
726
972.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
68% |
1120
21.6 IPS |
