Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
938
Single Precision Score
937
Half Precision Score
1046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 10 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4300M CPU @ 2.60GHz |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
1302
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
1618
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3393
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3340
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3645
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
787
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
91% |
553
743.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1006
17.3 IPS |
