HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
1784
Single Precision Score
2086
Half Precision Score
1134
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PerformanceNL |
| Upload Date | August 21 2024 08:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G9 Notebook PC |
| Motherboard | HP 8AA1 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
783
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
879
163.5 IPS |
|
|
Image Classification (Q)
|
100% |
645
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
3360
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
98% |
875
69.6 IPS |
|
|
Object Detection (Q)
|
89% |
742
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
817
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
3661
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4584
35.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
2617
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14829
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9319
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1071
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.5 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.4 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.1 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
311
6.94 IPS |
