LENOVO 82JU
Geekbench ML Score
8786
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:07 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% |
4223
790.3 IPS |
|
|
Image Classification (F16)
|
100% |
4286
802.0 IPS |
|
|
Image Classification (I8)
|
100% |
3295
616.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6308
105.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
6216
103.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
5077
84.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
54722
66.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
54533
66.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
45187
54.7 IPS |
|
|
Object Detection (F32)
|
100% |
3355
250.5 IPS |
|
|
Object Detection (F16)
|
100% |
3252
242.8 IPS |
|
|
Object Detection (I8)
|
63% |
2979
222.4 IPS |
|
|
Face Detection (F32)
|
100% |
12044
143.2 IPS |
|
|
Face Detection (F16)
|
100% |
12166
144.7 IPS |
|
|
Face Detection (I8)
|
89% |
9395
111.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25951
201.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
27042
209.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
19161
148.6 IPS |
|
|
Style Transfer (F32)
|
100% |
96290
126.7 IPS |
|
|
Style Transfer (F16)
|
100% |
87779
115.5 IPS |
|
|
Style Transfer (I8)
|
98% |
79476
104.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17347
619.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15788
563.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10600
378.6 IPS |
|
|
Text Classification (F32)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1565
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
875
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2164
39.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2161
39.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1132
20.8 IPS |
