HP HP ProBook 470 G5
Geekbench AI Score
911
Single Precision Score
417
Half Precision Score
1158
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 28 2025 09:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProBook 470 G5 |
| Motherboard | HP 837F |
| Power Plan | HP Optimized (empfohlen) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
96% |
1180
220.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
565
9.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
2211
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
58% |
656
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
96% |
1972
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
2688
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3042
3.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2183
2.81 IPS |
|
|
Style Transfer (Q)
|
87% |
4486
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
614
820.2 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.0 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
68% |
830
16.0 IPS |
