Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
704
Single Precision Score
408
Half Precision Score
778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 19 2025 12:28 PM |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
505
8.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1138
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
379
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
464
5.51 IPS |
|
|
Face Detection (Q)
|
96% |
1293
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1270
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
1318
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2457
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (Q)
|
87% |
2566
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.9 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.8 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.5 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
68% |
645
12.5 IPS |
