Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
713
Single Precision Score
420
Half Precision Score
785
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 04 2025 08:39 AM |
| Views | 8 |
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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
96% |
540
100.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
497
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
840
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1138
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
58% |
391
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (Q)
|
96% |
1327
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1271
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1309
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2468
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1959
2.52 IPS |
|
|
Style Transfer (Q)
|
87% |
2543
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.2 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.7 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.8 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (Q)
|
68% |
652
12.6 IPS |
