Hewlett-Packard HP 250 15.6 inch G10 Notebook PC
Geekbench AI Score
1583
Single Precision Score
691
Half Precision Score
3375
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rtalharbi |
| Upload Date | December 15 2025 03:58 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP 250 15.6 inch G10 Notebook PC |
| Motherboard | Hewlett-Packard 8B34 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
2924
545.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
3763
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
7110
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
86% |
2577
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
97% |
4039
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
964
7.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
6133
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5504
7.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3645
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7962
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2480
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.4 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (Q)
|
65% |
1714
34.4 IPS |
