Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
706
Single Precision Score
414
Half Precision Score
783
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 19 2025 12:46 AM |
| Views | 11 |
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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
96% |
548
102.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
501
8.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
1112
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
58% |
390
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (Q)
|
96% |
1358
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1297
9.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
1304
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2427
3.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1948
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
2616
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
528
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.4 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.2 IPS |
|
|
Text Classification (Q)
|
97% |
460
615.9 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
68% |
648
12.5 IPS |
