OrangePi NEO-01
Geekbench AI Score
2063
Single Precision Score
972
Half Precision Score
3697
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (Q)
|
99% |
4606
859.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
2775
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
13542
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
86% |
3417
274.6 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
6155
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4188
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1442
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4749
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7626
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6885
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
17688
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3581
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.5 IPS |
|
|
Text Classification (Q)
|
97% |
273
366.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1599
32.1 IPS |
