HP HP ProBook 650 G4
Geekbench AI Score
1424
Single Precision Score
2093
Half Precision Score
2010
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
966
179.6 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
100% |
1346
250.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1762
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
2343
2.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
3379
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
99% |
1468
116.8 IPS |
|
|
Object Detection (Q)
|
88% |
1376
110.4 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (Q)
|
97% |
3504
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2754
21.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4807
37.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4388
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6898
8.87 IPS |
|
|
Style Transfer (HP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8154
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1912
70.8 IPS |
|
|
Text Classification (SP)
|
71% |
523
756.0 IPS |
|
|
Text Classification (HP)
|
71% |
609
881.1 IPS |
|
|
Text Classification (Q)
|
92% |
488
656.0 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
97% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.4 IPS |
