HP HP ProBook 470 G5
Geekbench AI Score
1438
Single Precision Score
655
Half Precision Score
2039
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 01:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 470 G5 |
| Motherboard | HP 837F |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1310
1.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
3174
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
1095
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
1225
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
2038
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
96% |
3202
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2813
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
823
6.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
4054
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4558
5.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3284
4.22 IPS |
|
|
Style Transfer (Q)
|
87% |
6367
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1363
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.3 IPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1377
26.6 IPS |
