LENOVO 21N9
Geekbench ML Score
2952
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 04:08 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% |
1488
278.5 IPS |
|
|
Image Classification (F16)
|
100% |
1469
274.8 IPS |
|
|
Image Classification (I8)
|
99% |
2439
456.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2264
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5575
6.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
5643
6.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
21046
25.5 IPS |
|
|
Object Detection (F32)
|
100% |
1487
111.0 IPS |
|
|
Object Detection (F16)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (I8)
|
62% |
1289
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
3471
41.3 IPS |
|
|
Face Detection (F16)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (I8)
|
89% |
3541
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5778
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5776
44.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
11564
89.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13923
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13734
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
18842
24.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2519
89.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2451
87.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3829
136.8 IPS |
|
|
Text Classification (F32)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (I8)
|
98% |
397
570.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1544
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1531
28.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2363
43.5 IPS |
