LENOVO 20K5S3Y900
Geekbench AI Score
238
Single Precision Score
222
Half Precision Score
147
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 25 2025 11:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6200U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 20K5S3Y900 |
| Motherboard | LENOVO 20K5S3Y900 |
| 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 | 31.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
106
1.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
348
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
154
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.64 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.82 IPS |
|
|
Object Detection (Q)
|
85% |
66
5.32 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.68 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.62 IPS |
|
|
Face Detection (Q)
|
97% |
161
1.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.87 IPS |
|
|
Depth Estimation (Q)
|
63% |
198
1.86 IPS |
|
|
Style Transfer (SP)
|
100% |
525
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
592
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
184
6.80 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (Q)
|
92% |
116
155.6 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
58% |
108
2.53 IPS |
