HP HP ProBook 650 G4
Geekbench AI Score
1850
Single Precision Score
1817
Half Precision Score
2992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 650 G4 |
| Motherboard | HP 8416 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1162
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
1915
356.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2015
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
3807
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
1100
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
87% |
2033
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
5116
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3061
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5351
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5908
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6129
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
13298
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2800
103.7 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (Q)
|
91% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1713
29.5 IPS |
