LENOVO 83DN
Geekbench ML Score
2845
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 01:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1392
260.5 IPS |
|
|
Image Classification (F16)
|
100% |
1394
260.8 IPS |
|
|
Image Classification (I8)
|
99% |
2598
486.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1303
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2183
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4929
5.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
5029
6.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
17060
20.7 IPS |
|
|
Object Detection (F32)
|
100% |
1348
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
1413
105.5 IPS |
|
|
Object Detection (I8)
|
62% |
1377
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
3377
40.2 IPS |
|
|
Face Detection (F16)
|
100% |
3345
39.8 IPS |
|
|
Face Detection (I8)
|
89% |
3557
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5446
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5302
41.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11160
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11571
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12107
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18262
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2282
81.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3838
137.1 IPS |
|
|
Text Classification (F32)
|
100% |
1039
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1019
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
392
563.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1674
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1697
31.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2642
48.6 IPS |
