HP HP 250 15.6 inch G9 Notebook PC
Geekbench AI Score
1666
Single Precision Score
1839
Half Precision Score
1105
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 06:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP 250 15.6 inch G9 Notebook PC |
| Motherboard | HP 89A0 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4509
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6471
7.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
3011
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
98% |
803
63.9 IPS |
|
|
Object Detection (Q)
|
86% |
750
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1990
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3481
26.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4027
31.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2488
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13161
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18598
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8524
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2756
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
918
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.5 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.6 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.1 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
341
6.40 IPS |
