Thomson NEOX12C-2BK32
Geekbench AI Score
137
Single Precision Score
82
Half Precision Score
208
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 11 2025 01:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N3350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Thomson NEOX12C-2BK32 |
| Motherboard | Default Default |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Celeron N3350 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 92 Stepping 9 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 2.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.87 IPS |
|
|
Image Classification (Q)
|
96% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
60
0.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
103
1.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
160
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
324
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.68 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.62 IPS |
|
|
Object Detection (Q)
|
58% |
114
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
253
3.01 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (Q)
|
96% |
361
4.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
222
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
125
0.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
353
2.81 IPS |
|
|
Style Transfer (SP)
|
100% |
414
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
87% |
640
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
163
6.05 IPS |
|
|
Text Classification (SP)
|
100% |
79
105.8 IPS |
|
|
Text Classification (HP)
|
100% |
57
76.6 IPS |
|
|
Text Classification (Q)
|
97% |
91
121.5 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (HP)
|
100% |
61
1.04 IPS |
|
|
Machine Translation (Q)
|
68% |
210
4.06 IPS |
