LENOVO 20206
Geekbench AI Score
86
Single Precision Score
59
Half Precision Score
122
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 24 2024 02:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron 1005M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20206 |
| Motherboard | LENOVO 20206 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron 1005M |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 10.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (HP)
|
100% |
24
4.46 IPS |
|
|
Image Classification (Q)
|
96% |
73
13.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
47
0.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
52
0.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
60
0.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
114
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
86
0.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
163
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.59 IPS |
|
|
Object Detection (HP)
|
100% |
31
2.45 IPS |
|
|
Object Detection (Q)
|
58% |
71
7.80 IPS |
|
|
Face Detection (SP)
|
100% |
163
1.94 IPS |
|
|
Face Detection (HP)
|
100% |
99
1.18 IPS |
|
|
Face Detection (Q)
|
96% |
238
2.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
147
1.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
100
0.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
201
1.60 IPS |
|
|
Style Transfer (SP)
|
100% |
230
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
195
0.25 IPS |
|
|
Style Transfer (Q)
|
87% |
476
0.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
92
3.39 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.6 IPS |
|
|
Text Classification (HP)
|
100% |
34
45.8 IPS |
|
|
Text Classification (Q)
|
97% |
49
65.2 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (HP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (Q)
|
68% |
141
2.73 IPS |
