HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
1322
Single Precision Score
609
Half Precision Score
2043
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anderbencher |
| Upload Date | September 23 2024 01:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| 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% |
772
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
99% |
1602
298.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1372
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
8109
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
88% |
894
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
97% |
2318
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2576
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
77% |
3940
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5378
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3543
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
10049
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
281
375.5 IPS |
|
|
Text Classification (Q)
|
97% |
337
450.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1257
28.0 IPS |
