HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
1343
Single Precision Score
1232
Half Precision Score
1309
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B7C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
100% |
803
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1518
1.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
1777
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
87% |
816
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
2426
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1989
15.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2163
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4103
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
4255
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
5106
6.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1025
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.5 IPS |
|
|
Text Classification (Q)
|
91% |
379
510.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1212
20.9 IPS |
