HP HP EliteBook 830 G5
Geekbench AI Score
1597
Single Precision Score
1607
Half Precision Score
2706
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | October 24 2025 10:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 830 G5 |
| Motherboard | HP 83B3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1035
192.5 IPS |
|
|
Image Classification (HP)
|
100% |
1055
196.2 IPS |
|
|
Image Classification (Q)
|
100% |
1901
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1934
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1596
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1778
2.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
3821
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
87% |
1952
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
4588
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2667
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2693
20.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4990
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5845
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5742
7.38 IPS |
|
|
Style Transfer (Q)
|
98% |
12596
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2601
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (Q)
|
91% |
679
912.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1512
26.1 IPS |
