HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
1275
Single Precision Score
560
Half Precision Score
2761
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Peter_ma |
| Upload Date | September 08 2025 05:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ProBook 440 14 inch G9 Notebook PC |
| Motherboard | HP 8A9E |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
3023
563.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
3826
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
2400
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
86% |
1112
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (Q)
|
97% |
4160
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2221
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
827
6.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
7600
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4972
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2958
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9237
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1956
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.0 IPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1380
27.7 IPS |
