Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
709
Single Precision Score
415
Half Precision Score
792
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 11 2025 11:29 AM |
| Views | 11 |
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% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
96% |
559
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
503
8.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
823
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1157
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
58% |
389
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (Q)
|
96% |
1346
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1321
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2460
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1959
2.52 IPS |
|
|
Style Transfer (Q)
|
87% |
2572
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.2 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.9 IPS |
|
|
Text Classification (Q)
|
97% |
477
638.6 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
68% |
657
12.7 IPS |
