HP HP ProBook 450 G7
Geekbench AI Score
928
Single Precision Score
1082
Half Precision Score
754
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | January 20 2026 01:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
100% |
399
74.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
488
7.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2070
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (HP)
|
98% |
484
38.5 IPS |
|
|
Object Detection (Q)
|
86% |
436
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
802
9.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2118
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1456
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5767
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
8682
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4962
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
420
561.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.2 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.8 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
70% |
261
4.90 IPS |
