LENOVO 81Y6
Geekbench ML Score
6981
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:25 PM |
| Views | 5 |
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% |
3748
701.4 IPS |
|
|
Image Classification (F16)
|
100% |
3887
727.3 IPS |
|
|
Image Classification (I8)
|
100% |
3076
575.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4194
70.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3812
63.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3366
56.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
32635
39.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
43433
52.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
36537
44.2 IPS |
|
|
Object Detection (F32)
|
100% |
2834
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
2841
212.1 IPS |
|
|
Object Detection (I8)
|
61% |
2326
173.6 IPS |
|
|
Face Detection (F32)
|
100% |
9953
118.3 IPS |
|
|
Face Detection (F16)
|
100% |
9889
117.6 IPS |
|
|
Face Detection (I8)
|
89% |
7935
94.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14700
114.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
22767
176.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
16794
130.2 IPS |
|
|
Style Transfer (F32)
|
100% |
72235
95.0 IPS |
|
|
Style Transfer (F16)
|
100% |
72517
95.4 IPS |
|
|
Style Transfer (I8)
|
98% |
59369
78.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14512
518.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9255
330.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5568
198.9 IPS |
|
|
Text Classification (F32)
|
100% |
1061
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1316
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
985
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2429
44.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2125
39.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1229
22.6 IPS |
