LENOVO 83DJ
Geekbench ML Score
1626
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2024 03:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1204
225.3 IPS |
|
|
Image Classification (F16)
|
100% |
1156
216.3 IPS |
|
|
Image Classification (I8)
|
99% |
1921
359.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
636
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
723
12.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1725
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1533
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
1746
2.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
11263
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
383
28.6 IPS |
|
|
Object Detection (F16)
|
100% |
605
45.1 IPS |
|
|
Object Detection (I8)
|
62% |
843
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (I8)
|
89% |
2520
30.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3206
24.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4258
33.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8757
67.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6488
8.53 IPS |
|
|
Style Transfer (F16)
|
100% |
5334
7.02 IPS |
|
|
Style Transfer (I8)
|
98% |
9669
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1260
45.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1861
66.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2606
93.1 IPS |
|
|
Text Classification (F32)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
947
1.36 KIPS |
|
|
Text Classification (I8)
|
98% |
315
452.1 IPS |
|
|
Machine Translation (F32)
|
100% |
669
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
660
12.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1221
22.5 IPS |
