LENOVO 81YH
Geekbench ML Score
1258
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:59 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81YH |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
591
110.7 IPS |
|
|
Image Classification (F16)
|
100% |
596
111.5 IPS |
|
|
Image Classification (I8)
|
100% |
529
98.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
749
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5833
7.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
5612
6.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
4334
5.25 IPS |
|
|
Object Detection (F32)
|
100% |
619
46.2 IPS |
|
|
Object Detection (F16)
|
100% |
602
45.0 IPS |
|
|
Object Detection (I8)
|
54% |
555
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (I8)
|
89% |
898
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2820
21.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2917
22.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2380
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12702
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12760
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
9705
12.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1705
60.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1655
59.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1135
40.5 IPS |
|
|
Text Classification (F32)
|
100% |
361
519.4 IPS |
|
|
Text Classification (F16)
|
100% |
351
504.0 IPS |
|
|
Text Classification (I8)
|
98% |
253
363.6 IPS |
|
|
Machine Translation (F32)
|
100% |
443
8.15 IPS |
|
|
Machine Translation (F16)
|
100% |
514
9.46 IPS |
|
|
Machine Translation (I8)
|
70% |
322
5.93 IPS |
