LENOVO 82JU
Geekbench ML Score
9350
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:24 PM |
| Views | 3 |
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% |
4866
910.6 IPS |
|
|
Image Classification (F16)
|
100% |
4930
922.5 IPS |
|
|
Image Classification (I8)
|
100% |
3588
671.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6410
107.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6438
107.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5198
86.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
55818
67.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
64270
77.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
52963
64.1 IPS |
|
|
Object Detection (F32)
|
100% |
3658
273.1 IPS |
|
|
Object Detection (F16)
|
100% |
3593
268.3 IPS |
|
|
Object Detection (I8)
|
63% |
2918
217.9 IPS |
|
|
Face Detection (F32)
|
100% |
12776
151.9 IPS |
|
|
Face Detection (F16)
|
100% |
12721
151.2 IPS |
|
|
Face Detection (I8)
|
89% |
9928
118.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
29047
225.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29160
226.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
20915
162.2 IPS |
|
|
Style Transfer (F32)
|
100% |
103902
136.7 IPS |
|
|
Style Transfer (F16)
|
100% |
90439
119.0 IPS |
|
|
Style Transfer (I8)
|
98% |
72556
95.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17092
610.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16179
577.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10913
389.8 IPS |
|
|
Text Classification (F32)
|
100% |
1648
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1750
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
962
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2259
41.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2257
41.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1190
21.9 IPS |
