LENOVO 82R7
Geekbench ML Score
2422
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 08:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1084
202.9 IPS |
|
|
Image Classification (F16)
|
100% |
1185
221.7 IPS |
|
|
Image Classification (I8)
|
99% |
2112
395.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1106
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2281
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3431
4.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
3456
4.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
10330
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
1284
95.9 IPS |
|
|
Object Detection (F16)
|
100% |
1274
95.1 IPS |
|
|
Object Detection (I8)
|
62% |
1223
91.3 IPS |
|
|
Face Detection (F32)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
3056
36.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3966
30.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4089
31.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8350
64.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8574
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8898
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14078
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2064
73.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2004
71.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3232
115.4 IPS |
|
|
Text Classification (F32)
|
100% |
1143
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1099
1.58 KIPS |
|
|
Text Classification (I8)
|
98% |
996
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1466
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1427
26.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2070
38.1 IPS |
