HP HP ProBook 650 G4
Geekbench AI Score
1622
Single Precision Score
756
Half Precision Score
2310
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 05:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 650 G4 |
| Motherboard | HP 8416 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
3248
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
58% |
1303
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
96% |
3494
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2684
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
4315
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5407
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3828
4.92 IPS |
|
|
Style Transfer (Q)
|
87% |
6923
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1163
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2023
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
565
753.6 IPS |
|
|
Text Classification (Q)
|
97% |
886
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1418
27.4 IPS |
