HP OMEN 30L Desktop GT13-0xxx
Geekbench AI Score
5709
Single Precision Score
5779
Half Precision Score
8109
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | samuelks |
| Upload Date | January 29 2025 11:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10850K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 30L Desktop GT13-0xxx |
| Motherboard | HP 8703 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3808
708.2 IPS |
|
|
Image Classification (HP)
|
100% |
3815
709.5 IPS |
|
|
Image Classification (Q)
|
100% |
5694
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4521
73.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6486
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8079
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8191
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
16793
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (Q)
|
87% |
5918
474.6 IPS |
|
|
Face Detection (SP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
6182
73.5 IPS |
|
|
Face Detection (Q)
|
97% |
16073
191.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9624
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9896
76.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
16269
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23755
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24047
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47299
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4960
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9391
347.8 IPS |
|
|
Text Classification (SP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3841
66.2 IPS |
