Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
704
Single Precision Score
411
Half Precision Score
783
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 10 2025 07:06 AM |
| Views | 9 |
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% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
501
8.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1141
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
58% |
399
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.63 IPS |
|
|
Face Detection (Q)
|
96% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1239
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1296
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2471
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2521
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (HP)
|
100% |
271
362.0 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.7 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
68% |
658
12.7 IPS |
