HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
1482
Single Precision Score
3530
Half Precision Score
1106
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anderbencher |
| Upload Date | September 23 2024 02:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 14 inch G11 Notebook PC |
| Motherboard | HP 8C83 |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.7 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3455
56.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
574
9.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
4989
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
2414
192.0 IPS |
|
|
Object Detection (Q)
|
89% |
429
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (HP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
518
6.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
3329
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11433
88.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
2700
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19363
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26402
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14180
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3363
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4297
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2152
79.7 IPS |
|
|
Text Classification (SP)
|
86% |
476
643.4 IPS |
|
|
Text Classification (HP)
|
99% |
457
609.7 IPS |
|
|
Text Classification (Q)
|
83% |
277
377.0 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
375
8.36 IPS |
