HP HP Laptop 14-ep1xxx
Geekbench AI Score
1525
Single Precision Score
1463
Half Precision Score
3847
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 08:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
100% |
2433
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1958
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
5775
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
88% |
2533
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
100% |
5719
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2429
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
6514
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6303
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
6374
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
18576
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
2626
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1452
25.0 IPS |
