LENOVO 80E5
Geekbench AI Score
148
Single Precision Score
57
Half Precision Score
159
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:37 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-5005U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80E5 |
| Motherboard | LENOVO Lenovo G50-80 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (HP)
|
100% |
16
3.01 IPS |
|
|
Image Classification (Q)
|
97% |
67
12.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
42
0.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
15
0.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
88
1.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (Q)
|
87% |
331
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.70 IPS |
|
|
Object Detection (HP)
|
100% |
22
1.76 IPS |
|
|
Object Detection (Q)
|
86% |
99
7.93 IPS |
|
|
Face Detection (SP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (HP)
|
100% |
35
0.41 IPS |
|
|
Face Detection (Q)
|
96% |
257
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
76
0.58 IPS |
|
|
Depth Estimation (Q)
|
76% |
246
1.98 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
87% |
700
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
97
3.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
162
6.01 IPS |
|
|
Text Classification (SP)
|
100% |
152
202.8 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.6 IPS |
|
|
Text Classification (Q)
|
97% |
80
107.3 IPS |
|
|
Machine Translation (SP)
|
100% |
151
2.60 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.90 IPS |
|
|
Machine Translation (Q)
|
60% |
99
2.21 IPS |
