LENOVO 4291B66
Geekbench AI Score
346
Single Precision Score
343
Half Precision Score
495
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 05:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-2520M CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | LENOVO 4291B66 |
| Motherboard | LENOVO 4291B66 |
| Power Plan | Performances leves |
| 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 | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
315
58.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
368
5.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
317
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.54 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
877
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
81% |
831
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
888
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
1989
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.0 IPS |
|
|
Text Classification (HP)
|
100% |
339
451.9 IPS |
|
|
Text Classification (Q)
|
91% |
201
269.8 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
100% |
311
5.36 IPS |
