LENOVO 20FRS09Q00
Geekbench AI Score
562
Single Precision Score
563
Half Precision Score
305
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | June 20 2025 11:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6200U |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | LENOVO 20FRS09Q00 |
| Motherboard | LENOVO 20FRS09Q00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
188
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
589
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
85% |
198
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (Q)
|
97% |
461
5.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
719
5.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
699
5.38 IPS |
|
|
Depth Estimation (Q)
|
63% |
398
3.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1039
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1044
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
976
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
261
9.67 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.3 IPS |
|
|
Text Classification (HP)
|
100% |
537
717.2 IPS |
|
|
Text Classification (Q)
|
92% |
208
279.8 IPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
58% |
211
4.96 IPS |
