[2014] Mini PC: HP ProDesk 600 G1 DM [TPC-F064-DM] Hewlett-Packard HP ProDesk 600 G1 DM
Geekbench AI Score
687
Single Precision Score
419
Half Precision Score
824
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | April 23 2025 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4160T |
| 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% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
96% |
610
113.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
1312
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
431
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (Q)
|
96% |
1373
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1270
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
1425
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2501
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2125
2.73 IPS |
|
|
Style Transfer (Q)
|
87% |
2416
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.6 IPS |
|
|
Text Classification (Q)
|
97% |
525
703.9 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
68% |
568
11.0 IPS |
