Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
670
Single Precision Score
411
Half Precision Score
774
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 07 2025 02:37 AM |
| Views | 6 |
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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
96% |
538
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
480
7.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
1024
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
1130
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
58% |
387
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
96% |
1320
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1259
9.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
1276
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2436
3.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1940
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2566
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
361.0 IPS |
|
|
Text Classification (Q)
|
97% |
457
612.5 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
68% |
647
12.5 IPS |
