Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
716
Single Precision Score
410
Half Precision Score
787
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 18 2025 06:45 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
1124
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
381
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
96% |
1341
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1254
9.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
1283
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2454
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1869
2.40 IPS |
|
|
Style Transfer (Q)
|
87% |
2565
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.9 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.0 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.2 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
68% |
653
12.6 IPS |
