LENOVO 82JQ
Geekbench ML Score
9009
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:49 PM |
| Views | 2 |
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 | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4955
927.3 IPS |
|
|
Image Classification (F16)
|
100% |
4961
928.3 IPS |
|
|
Image Classification (I8)
|
100% |
3752
702.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
6080
101.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6127
102.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4950
82.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
54158
65.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
54672
66.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
53643
65.0 IPS |
|
|
Object Detection (F32)
|
100% |
3122
233.1 IPS |
|
|
Object Detection (F16)
|
100% |
3580
267.3 IPS |
|
|
Object Detection (I8)
|
63% |
2705
201.9 IPS |
|
|
Face Detection (F32)
|
100% |
12380
147.2 IPS |
|
|
Face Detection (F16)
|
100% |
12500
148.6 IPS |
|
|
Face Detection (I8)
|
89% |
9963
118.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
24574
190.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
30592
237.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
18541
143.8 IPS |
|
|
Style Transfer (F32)
|
100% |
87528
115.1 IPS |
|
|
Style Transfer (F16)
|
100% |
89709
118.0 IPS |
|
|
Style Transfer (I8)
|
98% |
73579
96.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15819
565.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15273
545.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10427
372.4 IPS |
|
|
Text Classification (F32)
|
100% |
1595
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1700
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
943
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
2315
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2294
42.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1262
23.2 IPS |
