LENOVO 82YN
Geekbench ML Score
536
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 20 2024 02:34 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82YN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
488
91.4 IPS |
|
|
Image Classification (F16)
|
100% |
526
98.4 IPS |
|
|
Image Classification (I8)
|
99% |
859
160.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
461
7.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
417
6.96 IPS |
|
|
Image Segmentation (I8)
|
98% |
1057
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1620
1.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
1558
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
2160
2.62 IPS |
|
|
Object Detection (F32)
|
100% |
180
13.5 IPS |
|
|
Object Detection (F16)
|
100% |
179
13.3 IPS |
|
|
Object Detection (I8)
|
62% |
165
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
433
5.15 IPS |
|
|
Face Detection (F16)
|
100% |
434
5.16 IPS |
|
|
Face Detection (I8)
|
89% |
567
6.75 IPS |
|
|
Depth Estimation (F32)
|
100% |
1638
12.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1823
14.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
1190
9.23 IPS |
|
|
Style Transfer (F32)
|
100% |
2140
2.82 IPS |
|
|
Style Transfer (F16)
|
100% |
2061
2.71 IPS |
|
|
Style Transfer (I8)
|
98% |
3231
4.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
293
10.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
291
10.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
407
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
127
181.8 IPS |
|
|
Text Classification (F16)
|
100% |
121
173.4 IPS |
|
|
Text Classification (I8)
|
98% |
119
171.1 IPS |
|
|
Machine Translation (F32)
|
100% |
247
4.54 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.48 IPS |
|
|
Machine Translation (I8)
|
67% |
286
5.27 IPS |
