HP HP Laptop 14-ep1xxx
Geekbench AI Score
1967
Single Precision Score
2091
Half Precision Score
1305
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 08:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (Q)
|
100% |
784
145.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5551
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7513
8.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3609
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
98% |
895
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
859
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
1333
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3995
30.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4545
35.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2868
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15627
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20918
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10183
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3084
113.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1070
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.0 IPS |
|
|
Text Classification (HP)
|
100% |
363
485.1 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.1 IPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
387
7.26 IPS |
