HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
2045
Single Precision Score
2203
Half Precision Score
1321
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
877
163.1 IPS |
|
|
Image Classification (HP)
|
100% |
917
170.5 IPS |
|
|
Image Classification (Q)
|
100% |
761
141.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
933
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7107
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
9147
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4232
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (HP)
|
98% |
933
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
863
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2258
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4265
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4879
37.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3086
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17046
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22534
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9012
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3286
121.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1121
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
710
948.3 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.3 IPS |
|
|
Text Classification (Q)
|
97% |
386
517.0 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
70% |
422
7.92 IPS |
