LENOVO 83DJ
Geekbench ML Score
2429
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 01:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 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% |
1241
232.3 IPS |
|
|
Image Classification (F16)
|
100% |
1252
234.2 IPS |
|
|
Image Classification (I8)
|
99% |
2312
432.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
997
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
960
16.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2048
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3591
4.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
3572
4.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
13830
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1264
94.4 IPS |
|
|
Object Detection (F16)
|
100% |
1193
89.1 IPS |
|
|
Object Detection (I8)
|
62% |
1157
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (F16)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (I8)
|
89% |
3349
39.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4460
34.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4197
32.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9963
77.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9123
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9341
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
15365
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1897
67.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1868
66.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3634
129.8 IPS |
|
|
Text Classification (F32)
|
100% |
1032
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
388
556.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2246
41.3 IPS |
