HP HP Laptop 14s-er0xxx
Geekbench AI Score
1415
Single Precision Score
1415
Half Precision Score
3947
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CosmicDynamo |
| Upload Date | March 24 2026 04:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1035G1 CPU @ 1.00GHz |
| 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% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (Q)
|
100% |
2755
512.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1601
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
6122
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
88% |
2612
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
5946
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2099
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2116
16.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6610
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4295
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4376
5.62 IPS |
|
|
Style Transfer (Q)
|
98% |
16491
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2429
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1528
26.3 IPS |
