HP HP Laptop 14-ep1xxx
Geekbench AI Score
1660
Single Precision Score
783
Half Precision Score
3507
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 08:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 3 100U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 14-ep1xxx |
| Motherboard | HP 8C60 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 100U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1177
218.9 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
99% |
2630
490.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
3322
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
7693
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1225
97.2 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
2371
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
4891
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1071
8.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
6450
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5596
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
4085
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
9812
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2840
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.7 IPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1764
35.4 IPS |
