Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
718
Single Precision Score
417
Half Precision Score
784
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 11 2025 12:52 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% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
831
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
1152
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
399
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
96% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1273
9.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
608
4.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
1323
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2472
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1956
2.51 IPS |
|
|
Style Transfer (Q)
|
87% |
2571
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.7 IPS |
|
|
Text Classification (HP)
|
100% |
285
381.0 IPS |
|
|
Text Classification (Q)
|
97% |
473
634.0 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
68% |
639
12.3 IPS |
