HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
2476
Single Precision Score
2438
Half Precision Score
6184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP ProBook 440 14 inch G11 Notebook PC |
| Motherboard | HP 8C83 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
100% |
3990
742.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3874
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (Q)
|
88% |
4074
326.5 IPS |
|
|
Face Detection (SP)
|
100% |
4071
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
8337
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3782
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3883
29.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10074
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9137
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9039
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32927
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6390
236.6 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2971
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2077
35.8 IPS |
