Hewlett-Packard HP ProDesk 490 G1 MT
Geekbench AI Score
642
Single Precision Score
677
Half Precision Score
509
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | raska-vilem |
| Upload Date | December 04 2025 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| 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% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
399
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
938
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
85% |
404
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (Q)
|
97% |
827
9.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.23 IPS |
|
|
Depth Estimation (Q)
|
63% |
696
6.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1166
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1189
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1823
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.5 IPS |
|
|
Text Classification (HP)
|
100% |
530
707.4 IPS |
|
|
Text Classification (Q)
|
92% |
180
242.1 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
58% |
263
6.18 IPS |
