HP HP ProBook 450 G7
Geekbench AI Score
1564
Single Precision Score
748
Half Precision Score
2208
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | January 20 2026 12:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 450 G7 |
| Motherboard | HP 86A0 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1143
212.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1921
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
3939
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
1200
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (Q)
|
96% |
3317
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2908
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
3904
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5532
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4055
5.21 IPS |
|
|
Style Transfer (Q)
|
87% |
6993
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1765
65.4 IPS |
|
|
Text Classification (SP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
544
725.5 IPS |
|
|
Text Classification (Q)
|
97% |
859
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1361
26.3 IPS |
