HP HP Laptop 15s-eq1xxx
Geekbench AI Score
2241
Single Precision Score
2279
Half Precision Score
2955
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 12:51 AM |
| Views | 4 |
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% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (Q)
|
100% |
1923
357.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3383
3.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
4564
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (Q)
|
87% |
1967
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
5977
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4263
32.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
4312
33.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
5282
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9887
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9934
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2609
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (Q)
|
91% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1930
33.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1526
26.5 IPS |
