HP HP ProBook 440 14 inch G10 Notebook PC
Geekbench AI Score
2457
Single Precision Score
999
Half Precision Score
3941
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | GENiEBEN |
| Upload Date | October 03 2025 08:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 14 inch G10 Notebook PC |
| Motherboard | HP 8B78 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| 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% |
1941
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
99% |
3756
700.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3334
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
11110
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
3117
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6047
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4809
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1281
9.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
9396
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8728
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5237
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
14173
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
615
820.3 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1867
37.5 IPS |
