HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2014
Single Precision Score
2150
Half Precision Score
2593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | HP HP Laptop 15s-eq1xxx |
| Motherboard | HP 8707 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
917
170.6 IPS |
|
|
Image Classification (Q)
|
100% |
1148
213.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
3648
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (Q)
|
87% |
1992
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
6079
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4329
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4339
33.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5302
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9889
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10061
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12805
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2667
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
91% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2060
35.5 IPS |
