LENOVO 83EU
Geekbench ML Score
1413
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | henriqueffc |
| Upload Date | August 29 2024 02:55 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83EU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1109
207.6 IPS |
|
|
Image Classification (F16)
|
100% |
1159
216.8 IPS |
|
|
Image Classification (I8)
|
99% |
685
128.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1417
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
709
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1981
2.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1958
2.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
1795
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
1108
82.7 IPS |
|
|
Object Detection (F16)
|
100% |
1136
84.8 IPS |
|
|
Object Detection (I8)
|
65% |
681
50.9 IPS |
|
|
Face Detection (F32)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (I8)
|
87% |
1640
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2044
15.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2042
15.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1645
12.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2811
3.70 IPS |
|
|
Style Transfer (F16)
|
100% |
2830
3.72 IPS |
|
|
Style Transfer (I8)
|
98% |
3697
4.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1432
51.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1442
51.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
992
35.4 IPS |
|
|
Text Classification (F32)
|
100% |
1137
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1141
1.64 KIPS |
|
|
Text Classification (I8)
|
92% |
470
676.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1936
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1926
35.4 IPS |
|
|
Machine Translation (I8)
|
62% |
643
11.8 IPS |
