HP OMEN 30L Desktop GT13-0xxx
Geekbench AI Score
3123
Single Precision Score
756
Half Precision Score
3078
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 13 2024 04:26 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 30L Desktop GT13-0xxx |
| Motherboard | HP 8703 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
97% |
2737
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1971
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5190
6.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
11782
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
86% |
1811
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
96% |
3477
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
76% |
5843
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15787
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12440
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
14420
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2956
109.5 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
684
913.5 IPS |
|
|
Text Classification (Q)
|
97% |
458
614.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
60% |
1673
37.3 IPS |
