HP OMEN 30L Desktop GT13-0xxx
Geekbench AI Score
17035
Single Precision Score
27537
Half Precision Score
11283
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| 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% |
6240
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10793
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
4771
887.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11100
179.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16043
260.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8750
142.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
102371
119.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
274291
320.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
82851
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
8571
679.8 IPS |
|
|
Object Detection (HP)
|
100% |
13499
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
6185
497.9 IPS |
|
|
Face Detection (SP)
|
100% |
19561
232.4 IPS |
|
|
Face Detection (HP)
|
100% |
29407
349.4 IPS |
|
|
Face Detection (Q)
|
97% |
15224
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43370
334.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78039
601.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
28768
230.4 IPS |
|
|
Style Transfer (SP)
|
100% |
169192
217.5 IPS |
|
|
Style Transfer (HP)
|
100% |
417261
536.4 IPS |
|
|
Style Transfer (Q)
|
98% |
130938
168.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26855
991.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37372
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17458
646.4 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3297
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1187
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1316
24.7 IPS |
