HP HP OmniDesk Desktop M02-0xxx
Geekbench AI Score
4778
Single Precision Score
8941
Half Precision Score
3502
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniDesk Desktop M02-0xxx |
| Motherboard | HP 8D32 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1684
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
4049
753.0 IPS |
|
|
Image Classification (Q)
|
100% |
1627
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23007
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54986
64.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15629
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (Q)
|
87% |
1579
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6028
71.6 IPS |
|
|
Face Detection (Q)
|
97% |
2406
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9967
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19418
149.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7576
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43355
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
87747
112.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26166
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16977
626.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4620
171.1 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1132
21.2 IPS |
