HP HP Laptop 14s-er0xxx
Geekbench AI Score
950
Single Precision Score
516
Half Precision Score
2301
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CosmicDynamo |
| Upload Date | March 24 2026 02:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Laptop 14s-er0xxx |
| Motherboard | HP 8778 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
99% |
1840
343.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
2060
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
4831
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
1889
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (Q)
|
97% |
2930
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
4203
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3296
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2522
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5477
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1993
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.4 IPS |
|
|
Text Classification (HP)
|
100% |
421
562.1 IPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
65% |
1079
21.7 IPS |
