LENOVO 81Y6
Geekbench ML Score
6764
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81Y6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3673
687.3 IPS |
|
|
Image Classification (F16)
|
100% |
3636
680.4 IPS |
|
|
Image Classification (I8)
|
100% |
2847
532.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3863
64.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3795
63.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3242
54.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
43890
53.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
43936
53.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
39366
47.7 IPS |
|
|
Object Detection (F32)
|
100% |
2814
210.1 IPS |
|
|
Object Detection (F16)
|
100% |
2941
219.5 IPS |
|
|
Object Detection (I8)
|
61% |
2313
172.7 IPS |
|
|
Face Detection (F32)
|
100% |
9640
114.6 IPS |
|
|
Face Detection (F16)
|
100% |
9687
115.2 IPS |
|
|
Face Detection (I8)
|
89% |
7666
91.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
21084
163.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
21258
164.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
16612
128.8 IPS |
|
|
Style Transfer (F32)
|
100% |
72411
95.3 IPS |
|
|
Style Transfer (F16)
|
100% |
72649
95.6 IPS |
|
|
Style Transfer (I8)
|
98% |
58205
76.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9003
321.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9007
321.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5765
205.9 IPS |
|
|
Text Classification (F32)
|
100% |
887
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
911
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
859
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2193
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2176
40.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1217
22.4 IPS |
