HP HP Pavilion Gaming Laptop 16-a0xxx
Geekbench AI Score
6346
Single Precision Score
4610
Half Precision Score
4695
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 16-a0xxx |
| Motherboard | HP 87AE |
| Power Plan | HP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2588
481.4 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3627
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25736
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16092
18.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
22618
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
3097
245.7 IPS |
|
|
Object Detection (HP)
|
100% |
2942
233.4 IPS |
|
|
Object Detection (Q)
|
89% |
2620
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
6488
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
97% |
5270
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15124
116.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11570
89.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
11540
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
46289
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31401
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40217
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8984
331.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6295
233.1 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.5 IPS |
|
|
Text Classification (Q)
|
97% |
928
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1810
31.3 IPS |
|
|
Machine Translation (Q)
|
60% |
843
18.8 IPS |
