LENOVO 83AS
Geekbench ML Score
2812
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 29 2024 08:07 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% |
1884
352.6 IPS |
|
|
Image Classification (F16)
|
100% |
1859
347.9 IPS |
|
|
Image Classification (I8)
|
97% |
3205
599.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1756
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5463
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
5812
7.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
11071
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1773
132.4 IPS |
|
|
Object Detection (F16)
|
100% |
1762
131.5 IPS |
|
|
Object Detection (I8)
|
60% |
1656
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (F16)
|
100% |
2277
27.1 IPS |
|
|
Face Detection (I8)
|
87% |
3445
41.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6201
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6614
51.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
9385
72.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12750
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13524
17.8 IPS |
|
|
Style Transfer (I8)
|
85% |
15446
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2641
94.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2595
92.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2707
96.7 IPS |
|
|
Text Classification (F32)
|
100% |
1683
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1945
2.80 KIPS |
|
|
Text Classification (I8)
|
94% |
383
550.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1756
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1928
35.5 IPS |
