HP HP Laptop 14-ep0xxx
Geekbench AI Score
1902
Single Precision Score
2083
Half Precision Score
1253
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | brianl831 |
| Upload Date | August 26 2025 10:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 14-ep0xxx |
| Motherboard | HP 8B2B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.6 IPS |
|
|
Image Classification (Q)
|
100% |
767
142.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
927
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5034
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
7462
8.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
3352
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
98% |
893
71.0 IPS |
|
|
Object Detection (Q)
|
86% |
836
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2260
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
1229
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4491
34.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2783
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14865
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20637
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9418
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1046
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
701
935.9 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.2 IPS |
|
|
Text Classification (Q)
|
97% |
380
508.8 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
376
7.04 IPS |
