LENOVO 83AS
Geekbench ML Score
4658
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:48 AM |
| Views | 3 |
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% |
2239
419.0 IPS |
|
|
Image Classification (F16)
|
100% |
2161
404.4 IPS |
|
|
Image Classification (I8)
|
100% |
1829
342.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2140
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2127
35.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1855
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
28894
35.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
29130
35.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
22227
26.9 IPS |
|
|
Object Detection (F32)
|
100% |
1581
118.0 IPS |
|
|
Object Detection (F16)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (I8)
|
65% |
1403
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (F16)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (I8)
|
89% |
3762
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13082
101.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12718
98.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
9535
73.9 IPS |
|
|
Style Transfer (F32)
|
100% |
42248
55.6 IPS |
|
|
Style Transfer (F16)
|
100% |
42788
56.3 IPS |
|
|
Style Transfer (I8)
|
98% |
32903
43.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7866
280.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8164
291.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6118
218.5 IPS |
|
|
Text Classification (F32)
|
100% |
1255
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1232
1.77 KIPS |
|
|
Text Classification (I8)
|
98% |
929
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1941
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2220
40.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1159
21.3 IPS |
