LENOVO 83AS
Geekbench ML Score
2758
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:27 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1820
340.5 IPS |
|
|
Image Classification (F16)
|
100% |
1827
341.9 IPS |
|
|
Image Classification (I8)
|
97% |
3059
572.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (I8)
|
97% |
1937
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5813
7.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
5915
7.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
11017
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
1694
126.5 IPS |
|
|
Object Detection (F16)
|
100% |
1685
125.8 IPS |
|
|
Object Detection (I8)
|
60% |
1607
120.0 IPS |
|
|
Face Detection (F32)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (F16)
|
100% |
2215
26.3 IPS |
|
|
Face Detection (I8)
|
87% |
3348
39.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6523
50.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6628
51.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
9305
72.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12561
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11877
15.6 IPS |
|
|
Style Transfer (I8)
|
85% |
14864
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2705
96.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2647
94.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2681
95.8 IPS |
|
|
Text Classification (F32)
|
100% |
1648
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (I8)
|
94% |
296
425.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1929
35.5 IPS |
