HP HP ProBook 470 G5
Geekbench AI Score
1143
Single Precision Score
601
Half Precision Score
1461
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 10 2024 10:06 PM |
| Views | 6 |
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 | Ausbalanciert |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
96% |
1099
205.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1378
1.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
3425
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
86% |
770
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (Q)
|
96% |
1545
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2194
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
846
6.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
1913
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4590
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
87% |
5312
6.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1332
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
429
572.4 IPS |
|
|
Text Classification (Q)
|
97% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
60% |
832
18.6 IPS |
