HP HP 250 15.6 inch G9 Notebook PC
Geekbench AI Score
1812
Single Precision Score
735
Half Precision Score
3096
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Raajimi |
| Upload Date | April 09 2025 05:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP 250 15.6 inch G9 Notebook PC |
| Motherboard | HP 89A0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
99% |
2441
455.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1522
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3061
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
9628
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
86% |
2868
230.5 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
97% |
4057
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3861
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1060
8.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
6955
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7190
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5124
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
10521
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
702
936.7 IPS |
|
|
Text Classification (HP)
|
100% |
353
470.8 IPS |
|
|
Text Classification (Q)
|
97% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1563
31.4 IPS |
