Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
719
Single Precision Score
412
Half Precision Score
784
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 11 2025 06:11 AM |
| Views | 10 |
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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
96% |
557
104.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
1124
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
393
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
96% |
1355
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1304
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
591
4.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
1322
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2490
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1939
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2557
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.3 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.8 IPS |
|
|
Text Classification (Q)
|
97% |
460
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
68% |
645
12.5 IPS |
