HP HP ProBook 450 G6
Geekbench AI Score
1155
Single Precision Score
1799
Half Precision Score
1660
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usmanrazasaif |
| Upload Date | March 17 2025 10:06 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 450 G6 |
| Motherboard | HP 8538 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (Q)
|
100% |
1246
231.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1723
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2162
2.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
2136
2.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
2675
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (HP)
|
99% |
1225
97.4 IPS |
|
|
Object Detection (Q)
|
88% |
1244
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
3300
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2300
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4221
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
3767
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5664
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
8109
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
5854
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1603
59.4 IPS |
|
|
Text Classification (SP)
|
71% |
349
504.7 IPS |
|
|
Text Classification (HP)
|
71% |
417
603.1 IPS |
|
|
Text Classification (Q)
|
92% |
325
436.2 IPS |
|
|
Machine Translation (SP)
|
100% |
436
7.50 IPS |
|
|
Machine Translation (HP)
|
97% |
599
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
589
10.2 IPS |
