LENOVO 82JQ
Geekbench ML Score
2780
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:51 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| 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 | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1211
226.6 IPS |
|
|
Image Classification (F16)
|
100% |
1223
228.9 IPS |
|
|
Image Classification (I8)
|
99% |
1019
190.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1344
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1165
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12668
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
12558
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
10175
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1131
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
1096
81.9 IPS |
|
|
Object Detection (I8)
|
67% |
970
72.4 IPS |
|
|
Face Detection (F32)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (F16)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (I8)
|
90% |
1963
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7020
54.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7095
55.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
5442
42.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22040
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21884
28.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16845
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4813
171.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4805
171.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3189
113.9 IPS |
|
|
Text Classification (F32)
|
100% |
1050
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1062
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
693
995.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
69% |
795
14.6 IPS |
