HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
1689
Single Precision Score
1706
Half Precision Score
3767
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B7C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (Q)
|
100% |
2675
497.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
7939
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
88% |
2223
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
4935
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2922
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2870
22.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6305
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5396
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
6564
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
18762
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
685
913.7 IPS |
|
|
Text Classification (HP)
|
100% |
690
920.5 IPS |
|
|
Text Classification (Q)
|
92% |
1676
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1247
21.5 IPS |
