HP HP OmniDesk Desktop M02-0xxx
Geekbench AI Score
5956
Single Precision Score
5966
Half Precision Score
17826
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | November 20 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | HP HP OmniDesk Desktop M02-0xxx |
| Motherboard | HP 8D32 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3988
741.6 IPS |
|
|
Image Classification (HP)
|
100% |
4068
756.6 IPS |
|
|
Image Classification (Q)
|
100% |
11973
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4313
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4314
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11711
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7657
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
7732
9.02 IPS |
|
|
Pose Estimation (Q)
|
98% |
31157
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (Q)
|
88% |
12285
984.8 IPS |
|
|
Face Detection (SP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
28978
344.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9478
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9590
73.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29160
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20382
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20608
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82670
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15977
591.7 IPS |
|
|
Text Classification (SP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6264
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6209
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8635
148.7 IPS |
