HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
1642
Single Precision Score
431
Half Precision Score
2191
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | PerformanceNL |
| Upload Date | August 21 2024 08:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| 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% |
1119
208.0 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
1944
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
8021
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
88% |
1061
85.0 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (Q)
|
97% |
2446
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
541
4.17 IPS |
|
|
Depth Estimation (Q)
|
76% |
4674
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6425
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
4323
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
10188
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
375
501.0 IPS |
|
|
Text Classification (Q)
|
97% |
336
449.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1283
28.6 IPS |
