[2017] Mini PC: HP ProDesk 600 G3 DM HP HP ProDesk 600 G3 DM
Geekbench AI Score
538
Single Precision Score
312
Half Precision Score
469
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 22 2025 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
100% |
274
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
361
5.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
956
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
296
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (Q)
|
97% |
626
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1013
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.36 IPS |
|
|
Depth Estimation (Q)
|
77% |
905
7.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1895
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1321
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1788
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.2 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.9 IPS |
|
|
Text Classification (Q)
|
97% |
183
244.8 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
96% |
226
3.91 IPS |
|
|
Machine Translation (Q)
|
70% |
209
3.91 IPS |
