HP HP OmniDesk Desktop M03-0xxx
Geekbench AI Score
4717
Single Precision Score
3348
Half Precision Score
12227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GoldCylon |
| Upload Date | October 11 2025 10:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniDesk Desktop M03-0xxx |
| Motherboard | HP 8D35 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (Q)
|
100% |
7719
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8627
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3620
4.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
20770
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2764
219.3 IPS |
|
|
Object Detection (HP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (Q)
|
88% |
8320
666.9 IPS |
|
|
Face Detection (SP)
|
100% |
7847
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
20930
248.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5064
39.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20719
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16384
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10539
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58578
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2322
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12182
451.1 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5112
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4105
70.7 IPS |
