LENOVO 82R7
Geekbench ML Score
2436
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 08:49 PM |
| Views | 3 |
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% |
1220
228.3 IPS |
|
|
Image Classification (F16)
|
100% |
1205
225.5 IPS |
|
|
Image Classification (I8)
|
99% |
2018
377.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2198
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3481
4.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
3454
4.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
9376
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1293
96.5 IPS |
|
|
Object Detection (F16)
|
100% |
1326
99.0 IPS |
|
|
Object Detection (I8)
|
62% |
1239
92.5 IPS |
|
|
Face Detection (F32)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
3103
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4055
31.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4118
31.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8626
66.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8706
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8929
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
13735
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1911
68.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2078
74.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3298
117.8 IPS |
|
|
Text Classification (F32)
|
100% |
1114
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1145
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1422
26.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2100
38.6 IPS |
