LENOVO 83L3
Geekbench ML Score
4779
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2025 03:21 PM |
| Views | 6 |
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% |
2040
381.8 IPS |
|
|
Image Classification (F16)
|
100% |
1947
364.3 IPS |
|
|
Image Classification (I8)
|
100% |
1736
324.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2948
49.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2925
48.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2414
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
25753
31.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
26504
32.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
20924
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1596
119.1 IPS |
|
|
Object Detection (F16)
|
100% |
1643
122.7 IPS |
|
|
Object Detection (I8)
|
62% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (F16)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (I8)
|
89% |
3656
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12414
96.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
12098
93.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
10177
78.9 IPS |
|
|
Style Transfer (F32)
|
100% |
50514
66.4 IPS |
|
|
Style Transfer (F16)
|
100% |
34921
45.9 IPS |
|
|
Style Transfer (I8)
|
98% |
37356
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8057
287.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8205
293.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6188
221.0 IPS |
|
|
Text Classification (F32)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1377
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1008
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
2071
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2135
39.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1225
22.5 IPS |
