Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
730
Single Precision Score
416
Half Precision Score
765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 11 2025 12:37 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% |
505
93.9 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
510
8.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1155
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
58% |
386
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (Q)
|
96% |
1341
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
594
4.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
1274
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2500
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
1944
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
2566
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
548
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.3 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.5 IPS |
|
|
Text Classification (Q)
|
97% |
358
479.8 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
68% |
654
12.6 IPS |
