HP HP Pav Gaming Laptop 15-ec1076AX
Geekbench AI Score
2774
Single Precision Score
2833
Half Precision Score
3913
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pav Gaming Laptop 15-ec1076AX |
| Motherboard | HP 87B3 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (Q)
|
100% |
2666
495.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2749
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5192
6.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
6688
7.84 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (Q)
|
87% |
2656
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
7659
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5851
45.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7646
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14420
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14360
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18547
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2837
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3885
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
91% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2022
34.8 IPS |
