HP HP Pavilion Gaming Laptop 15-dk0xxx
Geekbench AI Score
1651
Single Precision Score
825
Half Precision Score
2272
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jesse66 |
| Upload Date | February 14 2025 02:34 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-dk0xxx |
| Motherboard | HP 85FC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1332
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
4482
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1385
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
842
10.00 IPS |
|
|
Face Detection (Q)
|
96% |
3677
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3288
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1153
8.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
4601
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6152
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
4882
6.28 IPS |
|
|
Style Transfer (Q)
|
87% |
7601
9.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1569
58.1 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.1 IPS |
|
|
Text Classification (Q)
|
97% |
912
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1401
27.1 IPS |
