HP HP EliteBook 650 15.6 inch G9 Notebook PC
Geekbench AI Score
2158
Single Precision Score
2211
Half Precision Score
1367
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Atirox |
| Upload Date | February 18 2025 06:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
992
184.4 IPS |
|
|
Image Classification (Q)
|
100% |
841
156.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5728
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7217
8.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3668
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
98% |
946
75.3 IPS |
|
|
Object Detection (Q)
|
86% |
800
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
1555
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4432
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4716
36.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3060
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17803
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22320
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11062
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1183
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
729
973.5 IPS |
|
|
Text Classification (HP)
|
100% |
347
462.8 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.4 IPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
70% |
454
8.52 IPS |
