Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
696
Single Precision Score
403
Half Precision Score
759
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 19 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% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
96% |
537
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
517
8.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1139
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
58% |
386
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
96% |
1252
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1184
9.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
1260
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2410
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
2439
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.9 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.3 IPS |
|
|
Text Classification (Q)
|
97% |
426
571.4 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
68% |
661
12.8 IPS |
