LENOVO 82JU
Geekbench ML Score
7638
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 01:36 AM |
| Views | 8 |
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% |
3712
694.6 IPS |
|
|
Image Classification (F16)
|
100% |
3671
687.0 IPS |
|
|
Image Classification (I8)
|
100% |
2772
518.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5265
87.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4976
83.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4375
73.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
42818
51.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
60165
72.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
44730
54.2 IPS |
|
|
Object Detection (F32)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (F16)
|
100% |
2827
211.0 IPS |
|
|
Object Detection (I8)
|
63% |
2565
191.5 IPS |
|
|
Face Detection (F32)
|
100% |
10016
119.1 IPS |
|
|
Face Detection (F16)
|
100% |
9784
116.3 IPS |
|
|
Face Detection (I8)
|
89% |
7778
92.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
20840
161.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
21984
170.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
17874
138.6 IPS |
|
|
Style Transfer (F32)
|
100% |
86500
113.8 IPS |
|
|
Style Transfer (F16)
|
100% |
86132
113.3 IPS |
|
|
Style Transfer (I8)
|
98% |
65243
85.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16229
579.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14502
517.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9458
337.8 IPS |
|
|
Text Classification (F32)
|
100% |
1343
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
786
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1711
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1773
32.6 IPS |
|
|
Machine Translation (I8)
|
70% |
986
18.1 IPS |
