HP HP Pavilion Gaming Laptop 15-ec2xxx
Geekbench AI Score
2023
Single Precision Score
1940
Half Precision Score
3905
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec2xxx |
| Motherboard | HP 88DD |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (Q)
|
100% |
3315
616.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2467
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3462
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
8165
9.58 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.1 IPS |
|
|
Object Detection (HP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (Q)
|
87% |
1527
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
7497
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3369
26.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
7261
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7821
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7579
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
19412
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4152
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
91% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1729
29.8 IPS |
