LENOVO 82JU
Geekbench ML Score
8787
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:14 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% |
4349
813.9 IPS |
|
|
Image Classification (F16)
|
100% |
4387
820.9 IPS |
|
|
Image Classification (I8)
|
100% |
3297
617.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6340
105.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6177
103.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5109
85.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
54189
65.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
59083
71.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
45895
55.6 IPS |
|
|
Object Detection (F32)
|
100% |
3386
252.8 IPS |
|
|
Object Detection (F16)
|
100% |
3158
235.8 IPS |
|
|
Object Detection (I8)
|
63% |
2857
213.3 IPS |
|
|
Face Detection (F32)
|
100% |
12271
145.9 IPS |
|
|
Face Detection (F16)
|
100% |
11658
138.6 IPS |
|
|
Face Detection (I8)
|
89% |
9543
113.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
27239
211.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
27074
210.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
18476
143.3 IPS |
|
|
Style Transfer (F32)
|
100% |
100358
132.0 IPS |
|
|
Style Transfer (F16)
|
100% |
88580
116.5 IPS |
|
|
Style Transfer (I8)
|
98% |
71698
94.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15830
565.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15525
554.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10557
377.0 IPS |
|
|
Text Classification (F32)
|
100% |
1525
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1541
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
926
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2182
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2190
40.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1144
21.1 IPS |
