HP HP ProBook 450 G8 Notebook PC
Geekbench AI Score
2116
Single Precision Score
1495
Half Precision Score
1558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kripo |
| Upload Date | March 06 2025 05:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
964
179.3 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
100% |
845
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6912
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
10678
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
5961
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (HP)
|
99% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
791
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
2275
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
1836
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2492
19.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2891
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19660
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22603
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15277
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.8 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
97% |
539
9.32 IPS |
|
|
Machine Translation (Q)
|
70% |
357
6.70 IPS |
