HP HP EliteBook 830 13 inch G9 Notebook PC
Geekbench AI Score
2147
Single Precision Score
2167
Half Precision Score
1389
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | March 05 2026 06:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 830 13 inch G9 Notebook PC |
| Motherboard | HP 896D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
898
167.0 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (Q)
|
100% |
773
143.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1055
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8209
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
9099
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4454
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.4 IPS |
|
|
Object Detection (HP)
|
98% |
923
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
893
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4381
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4853
37.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3066
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17920
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22754
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11752
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1158
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.9 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.2 IPS |
|
|
Text Classification (Q)
|
97% |
337
451.6 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
373
6.99 IPS |
