HP HP Laptop 15-dy1xxx
Geekbench AI Score
1096
Single Precision Score
1531
Half Precision Score
1579
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
977
181.6 IPS |
|
|
Image Classification (Q)
|
100% |
928
172.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3438
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
99% |
1002
79.7 IPS |
|
|
Object Detection (Q)
|
88% |
944
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
1974
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
94% |
2244
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3647
28.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3265
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5294
6.81 IPS |
|
|
Style Transfer (HP)
|
100% |
8241
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7477
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1401
51.9 IPS |
|
|
Text Classification (SP)
|
71% |
372
538.1 IPS |
|
|
Text Classification (HP)
|
71% |
402
582.0 IPS |
|
|
Text Classification (Q)
|
92% |
359
482.0 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
97% |
617
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
615
10.6 IPS |
