HP HP ProBook 440 G7
Geekbench AI Score
783
Single Precision Score
255
Half Precision Score
1105
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | legacybenchmark |
| Upload Date | April 12 2025 05:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.4 IPS |
|
|
Image Classification (Q)
|
94% |
860
160.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1242
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
941
1.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
2056
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.95 IPS |
|
|
Object Detection (Q)
|
58% |
607
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
820
9.75 IPS |
|
|
Face Detection (HP)
|
100% |
150
1.78 IPS |
|
|
Face Detection (Q)
|
96% |
2033
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1398
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
1999
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3072
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2266
2.91 IPS |
|
|
Style Transfer (Q)
|
87% |
3840
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.0 IPS |
|
|
Text Classification (HP)
|
100% |
182
242.9 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.2 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (Q)
|
68% |
748
14.4 IPS |
