HP HP ProBook 440 G7
Geekbench AI Score
1018
Single Precision Score
1016
Half Precision Score
1514
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | legacybenchmark |
| Upload Date | April 12 2025 05:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | HP HP ProBook 440 G7 |
| Motherboard | HP 869D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (Q)
|
100% |
934
173.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
2258
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
87% |
951
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
2453
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2548
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3332
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3338
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6299
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1319
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.3 IPS |
|
|
Text Classification (HP)
|
100% |
714
952.6 IPS |
|
|
Text Classification (Q)
|
91% |
481
646.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1184
20.4 IPS |
