HP HP ProBook 470 G5
Geekbench AI Score
652
Single Precision Score
314
Half Precision Score
691
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | pjizba |
| Upload Date | October 02 2024 12:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 470 G5 |
| Motherboard | HP 837F |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
96% |
569
106.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
420
6.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
801
0.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
1831
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
86% |
415
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
96% |
959
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1167
8.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
1138
9.11 IPS |
|
|
Style Transfer (SP)
|
100% |
2697
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1954
2.51 IPS |
|
|
Style Transfer (Q)
|
87% |
3243
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
653
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.7 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (Q)
|
97% |
132
177.4 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (Q)
|
60% |
451
10.1 IPS |
