OrangePi NEO-01
Geekbench AI Score
8046
Single Precision Score
11086
Half Precision Score
6246
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OrangePi NEO-01 |
| Motherboard | OrangePi NEO-01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (HP)
|
100% |
4551
846.3 IPS |
|
|
Image Classification (Q)
|
100% |
3003
558.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4551
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4849
78.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35798
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
64639
75.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29491
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2910
230.8 IPS |
|
|
Object Detection (HP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (Q)
|
87% |
2746
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
11902
141.4 IPS |
|
|
Face Detection (Q)
|
97% |
5643
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18162
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27107
208.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14764
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
62461
80.3 IPS |
|
|
Style Transfer (HP)
|
100% |
104654
134.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48066
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13254
489.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20737
765.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9441
349.6 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1575
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1701
31.9 IPS |
