HP HP Pav Gaming Laptop 15-ec1076AX
Geekbench AI Score
1785
Single Precision Score
999
Half Precision Score
1859
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| 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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
96% |
1384
258.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (Q)
|
87% |
5860
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
1005
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
96% |
2249
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4260
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3318
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10121
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9018
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
8733
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1751
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.9 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1049
23.4 IPS |
