LENOVO 83AS
Geekbench ML Score
4799
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:44 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% |
2270
424.8 IPS |
|
|
Image Classification (F16)
|
100% |
2242
419.6 IPS |
|
|
Image Classification (I8)
|
100% |
1826
341.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2184
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2170
36.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1892
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
28500
34.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
29244
35.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
22682
27.5 IPS |
|
|
Object Detection (F32)
|
100% |
1647
122.9 IPS |
|
|
Object Detection (F16)
|
100% |
1606
119.9 IPS |
|
|
Object Detection (I8)
|
65% |
1541
115.0 IPS |
|
|
Face Detection (F32)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (F16)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (I8)
|
89% |
3863
45.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13512
104.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13312
103.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
10403
80.7 IPS |
|
|
Style Transfer (F32)
|
100% |
43220
56.9 IPS |
|
|
Style Transfer (F16)
|
100% |
42852
56.4 IPS |
|
|
Style Transfer (I8)
|
98% |
33395
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7907
282.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6815
243.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5916
211.3 IPS |
|
|
Text Classification (F32)
|
100% |
1322
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
989
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2224
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2341
43.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1353
24.9 IPS |
