HP HP ProBook 440 14 inch G9 Notebook PC onnx directml HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
2723
Single Precision Score
2727
Half Precision Score
1689
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bighlo |
| Upload Date | February 03 2025 11:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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 i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1161
215.9 IPS |
|
|
Image Classification (HP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (Q)
|
100% |
990
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1322
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10559
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11134
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5378
6.30 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
98% |
1177
93.6 IPS |
|
|
Object Detection (Q)
|
86% |
1092
87.8 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (Q)
|
97% |
1826
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6016
46.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3782
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23183
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28856
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14008
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3251
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1349
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
389
519.7 IPS |
|
|
Text Classification (Q)
|
97% |
432
578.4 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
70% |
437
8.19 IPS |
