LENOVO 83DG
Geekbench ML Score
4328
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 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% |
2285
427.6 IPS |
|
|
Image Classification (F16)
|
100% |
2292
429.0 IPS |
|
|
Image Classification (I8)
|
99% |
3752
702.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1981
33.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1997
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2881
48.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9478
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9334
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
27498
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
2392
178.6 IPS |
|
|
Object Detection (F16)
|
100% |
2106
157.2 IPS |
|
|
Object Detection (I8)
|
62% |
1894
141.4 IPS |
|
|
Face Detection (F32)
|
100% |
4530
53.9 IPS |
|
|
Face Detection (F16)
|
100% |
4532
53.9 IPS |
|
|
Face Detection (I8)
|
89% |
4496
53.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8943
69.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9024
70.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15066
116.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21542
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21822
28.7 IPS |
|
|
Style Transfer (I8)
|
98% |
24422
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4320
154.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4502
160.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5843
208.7 IPS |
|
|
Text Classification (F32)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1570
2.26 KIPS |
|
|
Text Classification (I8)
|
98% |
473
679.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2140
39.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2203
40.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3005
55.3 IPS |
