LENOVO 20238
Geekbench AI Score
175
Single Precision Score
97
Half Precision Score
161
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 12:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4200M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20238 |
| Motherboard | LENOVO INVALID |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4200M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
39
7.30 IPS |
|
|
Image Classification (Q)
|
96% |
111
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
88
1.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
57
0.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
91
1.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
275
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.12 IPS |
|
|
Object Detection (Q)
|
58% |
81
8.88 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
119
1.42 IPS |
|
|
Face Detection (Q)
|
96% |
286
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
146
1.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
307
2.45 IPS |
|
|
Style Transfer (SP)
|
100% |
597
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
442
0.57 IPS |
|
|
Style Transfer (Q)
|
87% |
648
0.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.09 IPS |
|
|
Text Classification (SP)
|
100% |
94
125.7 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.8 IPS |
|
|
Text Classification (Q)
|
97% |
52
70.3 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.06 IPS |
|
|
Machine Translation (HP)
|
100% |
69
1.19 IPS |
|
|
Machine Translation (Q)
|
68% |
130
2.50 IPS |
