HP HP ProBook 450 G8 Notebook PC
Geekbench AI Score
2021
Single Precision Score
885
Half Precision Score
3392
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kripo |
| Upload Date | March 06 2025 05:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | HP HP ProBook 450 G8 Notebook PC |
| Motherboard | HP 87E0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
99% |
3942
735.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2696
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1770
2.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
9708
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
86% |
2963
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
5851
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1405
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9053
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5824
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4412
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
12658
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2694
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.4 IPS |
|
|
Text Classification (Q)
|
97% |
480
642.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1371
27.5 IPS |
