LENOVO F0BB00P4FR
Geekbench AI Score
97
Single Precision Score
54
Half Precision Score
121
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 28 2025 09:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | LENOVO F0BB00P4FR |
| Motherboard | LENOVO Aptio CRB |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Celeron N3050 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 76 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (HP)
|
100% |
27
5.03 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
71
1.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
113
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
71
0.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
165
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.71 IPS |
|
|
Object Detection (HP)
|
100% |
29
2.34 IPS |
|
|
Object Detection (Q)
|
58% |
62
6.81 IPS |
|
|
Face Detection (SP)
|
100% |
178
2.11 IPS |
|
|
Face Detection (HP)
|
100% |
89
1.06 IPS |
|
|
Face Detection (Q)
|
96% |
215
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
158
1.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
79
0.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
194
1.54 IPS |
|
|
Style Transfer (SP)
|
100% |
294
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
203
0.26 IPS |
|
|
Style Transfer (Q)
|
87% |
375
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
89
3.28 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.0 IPS |
|
|
Text Classification (HP)
|
100% |
37
48.9 IPS |
|
|
Text Classification (Q)
|
97% |
59
79.5 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (HP)
|
100% |
44
0.76 IPS |
|
|
Machine Translation (Q)
|
68% |
132
2.55 IPS |
