HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
2760
Single Precision Score
2697
Half Precision Score
6495
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:04 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% |
1406
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.5 IPS |
|
|
Image Classification (Q)
|
100% |
4085
759.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4670
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
13379
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
88% |
4038
323.7 IPS |
|
|
Face Detection (SP)
|
100% |
4456
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
8823
104.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4003
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3947
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10551
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9940
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10584
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33777
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6961
257.8 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
3054
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1942
33.5 IPS |
