LENOVO 20AUS1MG00
Geekbench AI Score
606
Single Precision Score
358
Half Precision Score
721
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | harrys123jp |
| Upload Date | August 24 2025 04:05 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4210M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20AUS1MG00 |
| Motherboard | LENOVO 20AUS1MG00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
602
9.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
661
0.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
993
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
58% |
346
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
96% |
1146
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
1117
8.91 IPS |
|
|
Style Transfer (SP)
|
100% |
2086
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1590
2.04 IPS |
|
|
Style Transfer (Q)
|
87% |
2288
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
546
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.5 IPS |
|
|
Text Classification (HP)
|
100% |
282
377.1 IPS |
|
|
Text Classification (Q)
|
97% |
388
519.4 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (Q)
|
68% |
617
11.9 IPS |
