HP OMEN by HP Obelisk Desktop 875-0xxx
Geekbench AI Score
3381
Single Precision Score
3399
Half Precision Score
5218
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 05 2024 01:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Obelisk Desktop 875-0xxx |
| Motherboard | HP 84FD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (Q)
|
100% |
3444
640.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3318
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4658
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4675
5.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
8879
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
2154
170.9 IPS |
|
|
Object Detection (Q)
|
87% |
3451
276.8 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3613
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
8926
106.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5961
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5977
46.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9429
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13092
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25243
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5331
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
1249
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3022
52.0 IPS |
