LENOVO 83L3
Geekbench ML Score
4727
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 03:19 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83L3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Go |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 8.00 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% |
1953
365.5 IPS |
|
|
Image Classification (F16)
|
100% |
2018
377.6 IPS |
|
|
Image Classification (I8)
|
100% |
1725
322.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2915
48.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3039
50.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2409
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
25899
31.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
26257
31.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
20980
25.4 IPS |
|
|
Object Detection (F32)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (F16)
|
100% |
1671
124.8 IPS |
|
|
Object Detection (I8)
|
62% |
1460
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (I8)
|
89% |
3604
42.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12860
99.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12980
100.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
9964
77.3 IPS |
|
|
Style Transfer (F32)
|
100% |
31368
41.3 IPS |
|
|
Style Transfer (F16)
|
100% |
48393
63.7 IPS |
|
|
Style Transfer (I8)
|
98% |
37548
49.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8720
311.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6776
242.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5499
196.4 IPS |
|
|
Text Classification (F32)
|
100% |
1383
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1382
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1044
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
2106
38.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1994
36.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1212
22.3 IPS |
