LENOVO 82JU
Geekbench ML Score
8292
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:02 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% |
4040
756.1 IPS |
|
|
Image Classification (F16)
|
100% |
4021
752.4 IPS |
|
|
Image Classification (I8)
|
100% |
2956
553.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6209
103.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6165
103.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5064
84.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
52888
64.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
53333
64.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
43618
52.8 IPS |
|
|
Object Detection (F32)
|
100% |
3204
239.2 IPS |
|
|
Object Detection (F16)
|
100% |
3213
239.9 IPS |
|
|
Object Detection (I8)
|
63% |
2730
203.8 IPS |
|
|
Face Detection (F32)
|
100% |
11602
138.0 IPS |
|
|
Face Detection (F16)
|
100% |
11538
137.2 IPS |
|
|
Face Detection (I8)
|
89% |
8907
105.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
23911
185.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
24087
186.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
17463
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
86401
113.7 IPS |
|
|
Style Transfer (F16)
|
100% |
86168
113.3 IPS |
|
|
Style Transfer (I8)
|
98% |
71825
94.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15665
559.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15572
556.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9718
347.1 IPS |
|
|
Text Classification (F32)
|
100% |
1420
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1484
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
805
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2061
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2053
37.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1036
19.1 IPS |
