HP HP OmniDesk Desktop M02-0xxx
Geekbench AI Score
3275
Single Precision Score
867
Half Precision Score
7135
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | November 20 2025 07:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| 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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
97% |
8483
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
3480
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7209
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5674
6.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
20760
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
86% |
8457
679.7 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.82 IPS |
|
|
Face Detection (Q)
|
97% |
13246
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7584
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
15274
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15522
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15031
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17427
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2586
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3226
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
610
813.8 IPS |
|
|
Text Classification (Q)
|
97% |
1714
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
65% |
3385
68.0 IPS |
