LENOVO 80M3
Geekbench AI Score
146
Single Precision Score
75
Half Precision Score
181
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | pesu |
| Upload Date | January 03 2026 11:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N3150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 80M3 |
| Motherboard | LENOVO Paris G 5A6 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Celeron N3150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 76 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (HP)
|
100% |
35
6.58 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
46
0.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
154
2.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
117
0.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
277
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.34 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.20 IPS |
|
|
Object Detection (Q)
|
58% |
103
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (HP)
|
100% |
119
1.42 IPS |
|
|
Face Detection (Q)
|
96% |
334
3.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
119
0.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
317
2.52 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
358
0.46 IPS |
|
|
Style Transfer (Q)
|
87% |
603
0.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
72
2.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
152
5.63 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.1 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.1 IPS |
|
|
Text Classification (Q)
|
97% |
63
84.6 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (Q)
|
68% |
177
3.43 IPS |
