[2017] Mini PC: HP ProDesk 600 G3 DM HP HP ProDesk 600 G3 DM
Geekbench AI Score
1823
Single Precision Score
1828
Half Precision Score
2739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 22 2025 03:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500T CPU @ 2.50GHz |
| 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% |
1096
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
1114
207.2 IPS |
|
|
Image Classification (Q)
|
100% |
1712
318.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2264
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
4275
5.01 IPS |
|
|
Object Detection (SP)
|
100% |
1057
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
1043
82.7 IPS |
|
|
Object Detection (Q)
|
87% |
1748
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
4515
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2885
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2889
22.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4763
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6423
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
6427
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11837
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2469
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (Q)
|
91% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1780
30.7 IPS |
