Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
717
Single Precision Score
409
Half Precision Score
789
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 07 2025 06:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300M |
| 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% |
476
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
514
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
1150
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
397
43.3 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.34 IPS |
|
|
Face Detection (Q)
|
96% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1322
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
602
4.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1264
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2474
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (Q)
|
87% |
2601
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.3 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.2 IPS |
|
|
Text Classification (Q)
|
97% |
455
610.1 IPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
68% |
660
12.7 IPS |
