LENOVO 4236VJ7
Geekbench AI Score
341
Single Precision Score
211
Half Precision Score
328
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 21 2025 02:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2520M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 4236VJ7 |
| Motherboard | LENOVO 4236VJ7 |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2520M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
96% |
252
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
309
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
424
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
424
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.79 IPS |
|
|
Object Detection (Q)
|
58% |
168
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.69 IPS |
|
|
Face Detection (Q)
|
96% |
533
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
292
2.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
410
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
946
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
693
0.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.89 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.5 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.7 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.92 IPS |
|
|
Machine Translation (Q)
|
68% |
283
5.48 IPS |
