HP HP ProBook 440 G7
Geekbench AI Score
528
Single Precision Score
530
Half Precision Score
336
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | legacybenchmark |
| Upload Date | April 12 2025 05:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
356
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
205
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
258
4.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
522
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
85% |
227
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
97% |
522
6.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
450
4.22 IPS |
|
|
Style Transfer (SP)
|
100% |
970
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
1173
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (HP)
|
100% |
461
614.9 IPS |
|
|
Text Classification (Q)
|
92% |
177
238.4 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
58% |
206
4.84 IPS |
