Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
681
Single Precision Score
397
Half Precision Score
787
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 07 2025 03:21 AM |
| Views | 4 |
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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.8 IPS |
|
|
Image Classification (Q)
|
96% |
548
102.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
488
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1153
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
400
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
96% |
1371
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1251
9.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
600
4.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
1293
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2402
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1399
1.80 IPS |
|
|
Style Transfer (Q)
|
87% |
2532
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
524
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.0 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.3 IPS |
|
|
Text Classification (Q)
|
97% |
479
641.9 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
68% |
663
12.8 IPS |
