HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
4309
Single Precision Score
6836
Half Precision Score
3212
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
4059
754.9 IPS |
|
|
Image Classification (Q)
|
100% |
1878
349.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6320
102.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2308
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11734
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16688
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10658
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
99% |
4844
385.3 IPS |
|
|
Object Detection (Q)
|
86% |
1992
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (Q)
|
97% |
3260
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8818
67.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
17809
137.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
7057
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38253
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56510
72.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28441
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6197
228.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9663
356.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.6 IPS |
|
|
Text Classification (SP)
|
86% |
764
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
640
854.6 IPS |
|
|
Text Classification (Q)
|
84% |
589
798.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
70% |
959
18.0 IPS |
