HP HP 250 15.6 inch G9 Notebook PC
Geekbench AI Score
1330
Single Precision Score
644
Half Precision Score
2551
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1215U |
| 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% |
954
177.4 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
99% |
2077
387.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1933
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
6139
7.20 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (Q)
|
86% |
2037
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
97% |
3658
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2527
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
942
7.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
5218
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4719
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3585
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7394
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1581
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
396
529.1 IPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1448
29.1 IPS |
