LENOVO 83D3
Geekbench ML Score
4031
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:30 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB 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% |
1926
360.4 IPS |
|
|
Image Classification (F16)
|
100% |
2101
393.2 IPS |
|
|
Image Classification (I8)
|
99% |
5031
941.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3414
57.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7499
9.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
7357
8.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
25401
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2156
161.0 IPS |
|
|
Object Detection (F16)
|
100% |
2110
157.5 IPS |
|
|
Object Detection (I8)
|
62% |
2130
159.0 IPS |
|
|
Face Detection (F32)
|
100% |
3345
39.8 IPS |
|
|
Face Detection (F16)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (I8)
|
89% |
5170
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8209
63.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8155
63.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16568
128.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15148
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15018
19.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26825
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3122
111.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3149
112.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3689
131.7 IPS |
|
|
Text Classification (F32)
|
100% |
2020
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1436
2.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
2170
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2171
40.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2975
54.8 IPS |
