Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
928
Single Precision Score
925
Half Precision Score
1034
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 14 2025 09:20 AM |
| Views | 9 |
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% |
520
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
100% |
597
111.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
1283
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
87% |
629
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1723
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1430
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1415
10.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1610
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3327
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3691
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
777
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.6 IPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
91% |
554
744.5 IPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
998
17.2 IPS |
