HP HP Laptop 15-dy1xxx
Geekbench AI Score
1098
Single Precision Score
579
Half Precision Score
1663
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-dy1xxx |
| Motherboard | HP 86C9 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
1392
259.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1046
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1293
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5917
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
776
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
678
8.05 IPS |
|
|
Face Detection (Q)
|
97% |
2152
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2204
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.62 IPS |
|
|
Depth Estimation (Q)
|
77% |
3126
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4426
5.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3360
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8507
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1744
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.4 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.8 IPS |
|
|
Text Classification (Q)
|
97% |
265
354.7 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
60% |
917
20.5 IPS |
