HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
1570
Single Precision Score
729
Half Precision Score
1880
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1161
215.8 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
99% |
1788
333.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1602
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1680
1.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
9149
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
88% |
872
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (Q)
|
97% |
1809
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1078
8.31 IPS |
|
|
Depth Estimation (Q)
|
77% |
3199
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6106
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4566
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
7284
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
330
440.4 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.0 IPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
60% |
935
20.9 IPS |
