LENOVO 83AS
Geekbench ML Score
2679
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 07:12 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% |
1575
294.7 IPS |
|
|
Image Classification (F16)
|
100% |
1566
293.0 IPS |
|
|
Image Classification (I8)
|
97% |
2417
452.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
438
7.31 IPS |
|
|
Image Segmentation (I8)
|
97% |
1719
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5516
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
5505
6.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
10227
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1548
115.6 IPS |
|
|
Object Detection (F16)
|
100% |
1579
117.9 IPS |
|
|
Object Detection (I8)
|
60% |
1048
78.2 IPS |
|
|
Face Detection (F32)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (F16)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (I8)
|
87% |
3590
42.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6738
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6685
51.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
9456
73.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13016
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12315
16.2 IPS |
|
|
Style Transfer (I8)
|
85% |
15580
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2756
98.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2853
101.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2721
97.2 IPS |
|
|
Text Classification (F32)
|
100% |
1957
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1757
2.53 KIPS |
|
|
Text Classification (I8)
|
94% |
388
558.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1895
34.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1891
34.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2039
37.5 IPS |
