LENOVO 21N9
Geekbench ML Score
2916
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 04:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N9 |
| 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 | 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% |
1485
278.0 IPS |
|
|
Image Classification (I8)
|
99% |
2495
467.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1316
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2155
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5521
6.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
5638
6.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
19049
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
1478
110.3 IPS |
|
|
Object Detection (F16)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (I8)
|
62% |
1262
94.2 IPS |
|
|
Face Detection (F32)
|
100% |
3529
42.0 IPS |
|
|
Face Detection (F16)
|
100% |
3445
41.0 IPS |
|
|
Face Detection (I8)
|
89% |
3560
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5807
45.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5821
45.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11255
87.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13386
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13295
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
18958
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2461
87.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2449
87.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3883
138.7 IPS |
|
|
Text Classification (F32)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
376
539.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1523
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1563
28.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2390
44.0 IPS |
