HP OMEN 30L Desktop GT13-0xxx
Geekbench AI Score
3126
Single Precision Score
752
Half Precision Score
3074
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 18 |
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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
97% |
2706
505.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
2020
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6456
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5151
6.01 IPS |
|
|
Pose Estimation (Q)
|
87% |
11661
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
86% |
1831
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
96% |
3455
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
877
6.76 IPS |
|
|
Depth Estimation (Q)
|
76% |
5882
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15701
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12194
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14384
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2696
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2948
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.4 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1647
36.7 IPS |
