HP HP EliteBook 650 15.6 inch G9 Notebook PC
Geekbench AI Score
1195
Single Precision Score
511
Half Precision Score
1787
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Atirox |
| Upload Date | February 18 2025 06:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 650 15.6 inch G9 Notebook PC |
| Motherboard | HP 8AA9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
99% |
1798
335.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1469
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
4978
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.7 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
86% |
2072
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
97% |
3352
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
742
5.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
3759
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4126
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2829
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
8251
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1215
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (Q)
|
97% |
159
213.4 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (Q)
|
65% |
952
19.1 IPS |
