HP HP ProBook 440 G7
Geekbench AI Score
924
Single Precision Score
919
Half Precision Score
1433
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | legacybenchmark |
| Upload Date | April 12 2025 06:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 G7 |
| Motherboard | HP 869D |
| Power Plan | HP Optimized (zalecany) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
618
114.9 IPS |
|
|
Image Classification (Q)
|
100% |
954
177.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
1881
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
87% |
997
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
2594
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1317
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
81% |
2375
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2849
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2866
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5603
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1162
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
91% |
461
619.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1068
18.4 IPS |
