HP HP ProBook 450 G6
Geekbench AI Score
1206
Single Precision Score
1159
Half Precision Score
1840
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usmanrazasaif |
| Upload Date | March 17 2025 10:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8265U CPU @ 1.60GHz |
| 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% |
861
160.2 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.2 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1600
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
2566
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
826
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
87% |
1379
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
3877
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2157
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3427
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4140
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4012
5.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4911
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.3 IPS |
|
|
Text Classification (HP)
|
100% |
601
802.2 IPS |
|
|
Text Classification (Q)
|
91% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1053
18.1 IPS |
