HP OMEN 30L Desktop GT13-1xxx
Geekbench AI Score
2133
Single Precision Score
1023
Half Precision Score
2966
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mkrish3 |
| Upload Date | January 16 2025 01:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 30L Desktop GT13-1xxx |
| Motherboard | HP 8876 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
96% |
3435
641.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3144
3.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
8899
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
58% |
2210
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
5234
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5141
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1567
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7469
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7284
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
7115
9.15 IPS |
|
|
Style Transfer (Q)
|
87% |
9422
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2201
81.6 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.3 IPS |
|
|
Text Classification (Q)
|
97% |
415
556.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
68% |
1408
27.2 IPS |
