LENOVO 82FG
Geekbench ML Score
2185
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82FG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1144
214.1 IPS |
|
|
Image Classification (F16)
|
100% |
1145
214.3 IPS |
|
|
Image Classification (I8)
|
99% |
2349
439.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
899
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1421
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3265
3.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
3264
3.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
11067
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1137
84.8 IPS |
|
|
Object Detection (F16)
|
100% |
1090
81.3 IPS |
|
|
Object Detection (I8)
|
62% |
1258
93.9 IPS |
|
|
Face Detection (F32)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
3245
38.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3899
30.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3908
30.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8925
69.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7895
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7882
10.4 IPS |
|
|
Style Transfer (I8)
|
98% |
12902
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1671
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1691
60.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3000
107.1 IPS |
|
|
Text Classification (F32)
|
100% |
1213
1.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1204
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
374
537.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1517
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1528
28.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1839
33.8 IPS |
