HP HP ProBook 450 15.6 inch G10 Notebook PC
Geekbench AI Score
984
Single Precision Score
418
Half Precision Score
645
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 01:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B7C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
96% |
501
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
433
7.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
1340
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
58% |
309
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
1006
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
96% |
1105
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3417
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
754
5.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
1124
8.97 IPS |
|
|
Style Transfer (SP)
|
100% |
2836
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1991
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
2575
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.0 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (Q)
|
97% |
174
233.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
68% |
501
9.68 IPS |
