LENOVO 83D4
Geekbench ML Score
2789
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 08:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83D4 |
| 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% |
1452
271.8 IPS |
|
|
Image Classification (F16)
|
100% |
1489
278.5 IPS |
|
|
Image Classification (I8)
|
99% |
2618
489.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2128
35.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5263
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
5252
6.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
18106
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1319
98.4 IPS |
|
|
Object Detection (F16)
|
100% |
1349
100.7 IPS |
|
|
Object Detection (I8)
|
62% |
1311
97.8 IPS |
|
|
Face Detection (F32)
|
100% |
3201
38.1 IPS |
|
|
Face Detection (F16)
|
100% |
3235
38.5 IPS |
|
|
Face Detection (I8)
|
89% |
3566
42.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5534
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5390
41.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
11271
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
11990
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12630
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19123
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2281
81.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2364
84.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3897
139.2 IPS |
|
|
Text Classification (F32)
|
100% |
964
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
1014
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
381
548.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1507
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1502
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2404
44.2 IPS |
