HP HP Laptop 15-ef2xxx
Geekbench AI Score
1637
Single Precision Score
1685
Half Precision Score
2246
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Asif_Ahmad |
| Upload Date | September 20 2024 04:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-ef2xxx |
| Motherboard | HP 887A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
1081
201.1 IPS |
|
|
Image Classification (Q)
|
100% |
1346
250.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
3332
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.6 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
87% |
1547
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
4105
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3423
26.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4215
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7646
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
7707
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10250
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2027
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.1 IPS |
|
|
Text Classification (HP)
|
100% |
675
900.8 IPS |
|
|
Text Classification (Q)
|
91% |
463
622.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1680
28.9 IPS |
