HP OMEN 30L Desktop GT13-1xxx
Geekbench AI Score
5745
Single Precision Score
5680
Half Precision Score
8265
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neotrope |
| Upload Date | December 06 2024 10:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 30L Desktop GT13-1xxx |
| Motherboard | HP 8876 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3868
719.4 IPS |
|
|
Image Classification (HP)
|
100% |
3769
700.9 IPS |
|
|
Image Classification (Q)
|
100% |
5593
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4217
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4192
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6156
100.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6645
7.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
14490
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
3543
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.8 IPS |
|
|
Object Detection (Q)
|
87% |
5607
449.7 IPS |
|
|
Face Detection (SP)
|
100% |
8196
97.4 IPS |
|
|
Face Detection (HP)
|
100% |
8094
96.2 IPS |
|
|
Face Detection (Q)
|
97% |
16205
193.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8734
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8591
66.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
16017
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20902
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20771
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42689
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8524
315.8 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (Q)
|
91% |
1240
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4541
78.2 IPS |
