HP HP EliteBook 650 15.6 inch G10 Notebook PC (dock - PSU) HP HP EliteBook 650 15.6 inch G10 Notebook PC
Geekbench AI Score
1060
Single Precision Score
922
Half Precision Score
1766
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | jhaan |
| Upload Date | May 07 2025 09:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1365U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | HP HP EliteBook 650 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B8C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
100% |
2622
487.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1719
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2451
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
6380
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (HP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (Q)
|
88% |
353
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (Q)
|
100% |
895
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
89% |
6924
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7002
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7208
9.27 IPS |
|
|
Style Transfer (Q)
|
98% |
18675
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3345
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.8 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.5 IPS |
|
|
Text Classification (Q)
|
92% |
216
290.2 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
100% |
348
5.99 IPS |
