LENOVO 83GS
Geekbench ML Score
2398
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1455
272.4 IPS |
|
|
Image Classification (F16)
|
100% |
1410
263.8 IPS |
|
|
Image Classification (I8)
|
99% |
2345
438.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
957
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1009
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1690
28.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3278
3.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
3251
3.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
11760
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1250
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1219
91.0 IPS |
|
|
Object Detection (I8)
|
62% |
1211
90.4 IPS |
|
|
Face Detection (F32)
|
100% |
2435
29.0 IPS |
|
|
Face Detection (F16)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (I8)
|
89% |
2950
35.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4321
33.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4464
34.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
10001
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10381
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10675
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
12587
16.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2074
74.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2217
79.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2869
102.5 IPS |
|
|
Text Classification (F32)
|
100% |
1164
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1228
1.76 KIPS |
|
|
Text Classification (I8)
|
98% |
393
565.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1567
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1928
35.5 IPS |
