Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
700
Single Precision Score
416
Half Precision Score
782
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 11 2025 09:17 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% |
360
67.0 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
96% |
557
104.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
476
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1141
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
58% |
386
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (Q)
|
96% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1278
9.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
611
4.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
1301
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2536
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1912
2.46 IPS |
|
|
Style Transfer (Q)
|
87% |
2549
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
544
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.7 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.3 IPS |
|
|
Text Classification (Q)
|
97% |
472
631.7 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (Q)
|
68% |
649
12.5 IPS |
