[2014] Mini PC: HP ProDesk 600 G1 DM [TPC-F064-DM] Hewlett-Packard HP ProDesk 600 G1 DM
Geekbench AI Score
875
Single Precision Score
876
Half Precision Score
1085
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 23 2025 05:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4160T CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProDesk 600 G1 DM |
| Motherboard | Hewlett-Packard 21D0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4160T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
100% |
667
124.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
1397
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
87% |
685
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1767
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1325
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
1712
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3477
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3474
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3982
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
595
800.4 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
100% |
851
14.7 IPS |
