Hewlett-Packard HP ProDesk 490 G1 MT
Geekbench AI Score
1716
Single Precision Score
1737
Half Precision Score
1989
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 09:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4570 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | Hewlett-Packard HP ProDesk 490 G1 MT |
| Motherboard | Hewlett-Packard 18EB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 19.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
100% |
1311
243.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2426
2.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
2624
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
87% |
1323
106.1 IPS |
|
|
Face Detection (SP)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
3599
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2752
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2725
21.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3198
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6335
8.14 IPS |
|
|
Style Transfer (HP)
|
100% |
6327
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7774
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1361
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1630
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
589
791.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1688
29.1 IPS |
