HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
2088
Single Precision Score
2099
Half Precision Score
4451
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | November 30 2025 05:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 14 inch G9 Notebook PC |
| Motherboard | HP 8977 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
1178
219.0 IPS |
|
|
Image Classification (Q)
|
100% |
2993
556.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3175
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
6728
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (Q)
|
88% |
2550
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (Q)
|
100% |
7057
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3230
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3364
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7456
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8181
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8281
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23029
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3902
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2229
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1780
30.7 IPS |
