HP OMEN by HP Laptop 15-dc1xxx
Geekbench AI Score
1742
Single Precision Score
781
Half Precision Score
2209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 12:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP OMEN by HP Laptop 15-dc1xxx |
| Motherboard | HP 8574 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
96% |
2144
400.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
4931
5.83 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
58% |
1398
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
96% |
4277
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3653
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
4928
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6601
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4772
6.13 IPS |
|
|
Style Transfer (Q)
|
87% |
9448
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1671
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.6 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1437
27.8 IPS |
