HP OMEN 30L Desktop GT13-1xxx
Geekbench AI Score
4048
Single Precision Score
1665
Half Precision Score
4371
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neotrope |
| Upload Date | December 06 2024 09:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| 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% |
3726
693.0 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
96% |
5357
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2201
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4833
5.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
12536
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.8 IPS |
|
|
Object Detection (Q)
|
58% |
2890
315.8 IPS |
|
|
Face Detection (SP)
|
100% |
5868
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (Q)
|
96% |
7907
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2339
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11591
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14888
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12764
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
16644
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3323
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
427
572.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2758
53.3 IPS |
