HP HP Pav Gaming Laptop 15-ec1076AX
Geekbench AI Score
7729
Single Precision Score
6311
Half Precision Score
5582
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti with Max-Q Design |
| 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% |
3238
602.2 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.1 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5214
84.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4452
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
35426
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21361
24.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
31090
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3786
300.3 IPS |
|
|
Object Detection (HP)
|
100% |
3586
284.4 IPS |
|
|
Object Detection (Q)
|
89% |
2838
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
8105
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
7162
85.1 IPS |
|
|
Face Detection (Q)
|
97% |
6672
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18753
144.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14768
113.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
13959
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61704
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42621
54.8 IPS |
|
|
Style Transfer (Q)
|
98% |
52230
67.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11655
430.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9342
345.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7875
291.6 IPS |
|
|
Text Classification (SP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
892
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1863
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
828
18.5 IPS |
