Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
931
Single Precision Score
938
Half Precision Score
1045
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 10 2025 11:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4300M CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 450 G1 |
| Motherboard | Hewlett-Packard 1942 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
618
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
1297
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1715
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1438
11.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
1617
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3367
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3360
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3678
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
778
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.1 IPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
91% |
565
759.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
997
17.2 IPS |
