LENOVO 83DG
Geekbench ML Score
4320
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:34 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% |
2209
413.3 IPS |
|
|
Image Classification (F16)
|
100% |
2326
435.2 IPS |
|
|
Image Classification (I8)
|
99% |
3616
676.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1972
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1941
32.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2822
47.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9424
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9453
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29325
35.5 IPS |
|
|
Object Detection (F32)
|
100% |
2306
172.1 IPS |
|
|
Object Detection (F16)
|
100% |
2164
161.6 IPS |
|
|
Object Detection (I8)
|
62% |
2013
150.3 IPS |
|
|
Face Detection (F32)
|
100% |
4478
53.3 IPS |
|
|
Face Detection (F16)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (I8)
|
89% |
4605
54.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
9164
71.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9280
72.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15320
118.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21827
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21723
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25311
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4277
152.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4482
160.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5421
193.6 IPS |
|
|
Text Classification (F32)
|
100% |
1454
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1469
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
489
702.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2231
41.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2172
40.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2919
53.7 IPS |
