LENOVO 82R7
Geekbench ML Score
1811
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 09:05 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
892
166.9 IPS |
|
|
Image Classification (F16)
|
100% |
891
166.7 IPS |
|
|
Image Classification (I8)
|
100% |
690
129.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
975
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8102
9.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
8201
9.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
4400
5.33 IPS |
|
|
Object Detection (F32)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1016
75.8 IPS |
|
|
Object Detection (I8)
|
54% |
814
60.8 IPS |
|
|
Face Detection (F32)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
1315
15.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4133
32.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4154
32.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3007
23.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17605
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
17671
23.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11705
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2572
91.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2578
92.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1154
41.2 IPS |
|
|
Text Classification (F32)
|
100% |
608
873.5 IPS |
|
|
Text Classification (F16)
|
100% |
629
904.2 IPS |
|
|
Text Classification (I8)
|
98% |
348
500.9 IPS |
|
|
Machine Translation (F32)
|
100% |
788
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
70% |
408
7.51 IPS |
