LENOVO 83AS
Geekbench ML Score
4836
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:35 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% |
2012
376.6 IPS |
|
|
Image Classification (F16)
|
100% |
2255
422.1 IPS |
|
|
Image Classification (I8)
|
100% |
1853
346.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2138
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2140
35.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1861
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
29052
35.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
28657
34.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
23399
28.3 IPS |
|
|
Object Detection (F32)
|
100% |
1729
129.1 IPS |
|
|
Object Detection (F16)
|
100% |
1696
126.6 IPS |
|
|
Object Detection (I8)
|
65% |
1492
111.4 IPS |
|
|
Face Detection (F32)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (F16)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (I8)
|
89% |
3900
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13898
107.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13569
105.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
10610
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
37416
49.2 IPS |
|
|
Style Transfer (F16)
|
100% |
40505
53.3 IPS |
|
|
Style Transfer (I8)
|
98% |
33061
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9202
328.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8197
292.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5689
203.2 IPS |
|
|
Text Classification (F32)
|
100% |
1348
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
985
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2284
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2366
43.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1413
26.0 IPS |
