LENOVO 83L3
Geekbench ML Score
4418
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2025 01:05 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1863
348.6 IPS |
|
|
Image Classification (F16)
|
100% |
1868
349.5 IPS |
|
|
Image Classification (I8)
|
100% |
1620
303.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2679
44.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2585
43.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2144
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23927
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24302
29.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19062
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (F16)
|
100% |
1426
106.4 IPS |
|
|
Object Detection (I8)
|
62% |
1300
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
3866
46.0 IPS |
|
|
Face Detection (F16)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (I8)
|
89% |
3132
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11858
92.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11732
91.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
9184
71.2 IPS |
|
|
Style Transfer (F32)
|
100% |
49532
65.2 IPS |
|
|
Style Transfer (F16)
|
100% |
38560
50.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28825
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9988
356.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6645
237.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6136
219.1 IPS |
|
|
Text Classification (F32)
|
100% |
1334
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1367
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
990
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1835
33.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1784
32.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1133
20.9 IPS |
