LENOVO 82JU
Geekbench ML Score
8884
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 02:59 PM |
| Views | 4 |
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% |
4546
850.7 IPS |
|
|
Image Classification (F16)
|
100% |
4600
860.9 IPS |
|
|
Image Classification (I8)
|
100% |
3440
643.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6275
104.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
6301
105.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5072
84.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
53839
65.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
54541
66.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
45626
55.3 IPS |
|
|
Object Detection (F32)
|
100% |
3437
256.6 IPS |
|
|
Object Detection (F16)
|
100% |
3151
235.3 IPS |
|
|
Object Detection (I8)
|
63% |
2893
215.9 IPS |
|
|
Face Detection (F32)
|
100% |
12624
150.1 IPS |
|
|
Face Detection (F16)
|
100% |
12674
150.7 IPS |
|
|
Face Detection (I8)
|
89% |
9857
117.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
24343
188.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28795
223.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
19743
153.1 IPS |
|
|
Style Transfer (F32)
|
100% |
102103
134.3 IPS |
|
|
Style Transfer (F16)
|
100% |
88184
116.0 IPS |
|
|
Style Transfer (I8)
|
98% |
77307
101.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17453
623.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15429
551.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10700
382.1 IPS |
|
|
Text Classification (F32)
|
100% |
1389
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1516
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
884
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2243
41.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2239
41.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1162
21.4 IPS |
