LENOVO 83AS
Geekbench ML Score
4831
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| 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% |
2208
413.2 IPS |
|
|
Image Classification (F16)
|
100% |
2298
430.1 IPS |
|
|
Image Classification (I8)
|
100% |
2008
375.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2143
35.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2159
36.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1875
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
28915
35.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
28680
34.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
22501
27.2 IPS |
|
|
Object Detection (F32)
|
100% |
1614
120.5 IPS |
|
|
Object Detection (F16)
|
100% |
1601
119.5 IPS |
|
|
Object Detection (I8)
|
65% |
1412
105.4 IPS |
|
|
Face Detection (F32)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (F16)
|
100% |
4808
57.2 IPS |
|
|
Face Detection (I8)
|
89% |
3834
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
13326
103.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13243
102.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
9749
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
42771
56.3 IPS |
|
|
Style Transfer (F16)
|
100% |
43677
57.5 IPS |
|
|
Style Transfer (I8)
|
98% |
38084
50.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8257
294.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7987
285.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6130
218.9 IPS |
|
|
Text Classification (F32)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1341
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1022
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
2132
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2383
43.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1350
24.8 IPS |
