LENOVO 81Y6
Geekbench ML Score
6731
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:30 PM |
| Views | 1 |
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% |
3585
670.9 IPS |
|
|
Image Classification (F16)
|
100% |
3687
690.0 IPS |
|
|
Image Classification (I8)
|
100% |
2908
544.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4507
75.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3775
63.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3521
58.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
35510
43.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
38884
47.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
37490
45.4 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
2169
161.9 IPS |
|
|
Object Detection (I8)
|
61% |
2428
181.3 IPS |
|
|
Face Detection (F32)
|
100% |
9606
114.2 IPS |
|
|
Face Detection (F16)
|
100% |
9724
115.6 IPS |
|
|
Face Detection (I8)
|
89% |
7715
91.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
22023
170.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
21514
166.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
16556
128.4 IPS |
|
|
Style Transfer (F32)
|
100% |
72541
95.4 IPS |
|
|
Style Transfer (F16)
|
100% |
59971
78.9 IPS |
|
|
Style Transfer (I8)
|
98% |
57310
75.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14103
503.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9014
321.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5476
195.6 IPS |
|
|
Text Classification (F32)
|
100% |
836
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1004
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
834
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2211
40.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2134
39.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1204
22.2 IPS |
