HP HP EliteBook 650 15.6 inch G9 Notebook PC
Geekbench AI Score
2953
Single Precision Score
4185
Half Precision Score
6525
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Atirox |
| Upload Date | February 18 2025 06:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (Q)
|
99% |
3972
740.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4645
75.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5312
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5467
6.38 IPS |
|
|
Pose Estimation (HP)
|
99% |
4865
5.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
22857
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (Q)
|
90% |
4182
334.3 IPS |
|
|
Face Detection (SP)
|
100% |
4995
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
10121
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6143
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9644
74.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12542
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14617
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47444
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4183
154.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8333
308.6 IPS |
|
|
Text Classification (SP)
|
71% |
887
1.28 KIPS |
|
|
Text Classification (HP)
|
71% |
1089
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1079
18.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1301
22.4 IPS |
