HP HP Pavilion Gaming Laptop 15-dk2xxx
Geekbench AI Score
3671
Single Precision Score
5098
Half Precision Score
7876
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Abhi_170105 |
| Upload Date | December 07 2024 10:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-dk2xxx |
| Motherboard | HP 88E5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2244
417.4 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.4 IPS |
|
|
Image Classification (Q)
|
99% |
4741
884.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6475
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9713
11.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7441
8.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
30108
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
3338
264.8 IPS |
|
|
Object Detection (Q)
|
90% |
4809
384.5 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
8148
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
13865
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8061
62.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13821
106.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17957
139.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23677
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35808
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66265
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5978
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10043
371.9 IPS |
|
|
Text Classification (SP)
|
71% |
1044
1.51 KIPS |
|
|
Text Classification (HP)
|
71% |
1065
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1060
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1178
20.3 IPS |
