HP HP ProBook 650 G4
Geekbench AI Score
887
Single Precision Score
1035
Half Precision Score
696
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
400
74.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
435
7.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
2054
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.2 IPS |
|
|
Object Detection (HP)
|
98% |
477
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (HP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
587
6.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1992
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1313
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5562
7.15 IPS |
|
|
Style Transfer (HP)
|
100% |
7994
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4463
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
804
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.5 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.1 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
70% |
241
4.52 IPS |
