HP HP Laptop 14s-er0xxx
Geekbench AI Score
552
Single Precision Score
924
Half Precision Score
443
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CosmicDynamo |
| Upload Date | March 24 2026 04:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
100% |
346
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3861
4.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
388
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
98% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
86% |
402
32.3 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
561
6.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
641
4.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
1958
15.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
571
4.56 IPS |
|
|
Style Transfer (SP)
|
100% |
2277
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
9793
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
2020
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
330
439.9 IPS |
|
|
Text Classification (HP)
|
100% |
214
286.2 IPS |
|
|
Text Classification (Q)
|
97% |
225
301.7 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
70% |
258
4.83 IPS |
