LENOVO 82JU
Geekbench ML Score
9128
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 06:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5068
948.3 IPS |
|
|
Image Classification (F16)
|
100% |
5068
948.3 IPS |
|
|
Image Classification (I8)
|
100% |
3786
708.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6307
105.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6177
103.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5259
87.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
54468
66.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
65123
78.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
55172
66.8 IPS |
|
|
Object Detection (F32)
|
100% |
2914
217.6 IPS |
|
|
Object Detection (F16)
|
100% |
2583
192.8 IPS |
|
|
Object Detection (I8)
|
63% |
2747
205.1 IPS |
|
|
Face Detection (F32)
|
100% |
12756
151.7 IPS |
|
|
Face Detection (F16)
|
100% |
12702
151.0 IPS |
|
|
Face Detection (I8)
|
89% |
9904
117.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
30408
235.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27941
216.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
17685
137.2 IPS |
|
|
Style Transfer (F32)
|
100% |
105983
139.4 IPS |
|
|
Style Transfer (F16)
|
100% |
88665
116.6 IPS |
|
|
Style Transfer (I8)
|
98% |
72102
94.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16608
593.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16018
572.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10788
385.3 IPS |
|
|
Text Classification (F32)
|
100% |
1657
2.38 KIPS |
|
|
Text Classification (F16)
|
100% |
1698
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
934
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
2314
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1219
22.4 IPS |
