LENOVO 21N9
Geekbench ML Score
2945
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 04:10 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% |
1424
266.4 IPS |
|
|
Image Classification (F16)
|
100% |
1440
269.4 IPS |
|
|
Image Classification (I8)
|
99% |
2611
488.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2278
38.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5620
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
5613
6.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
19175
23.2 IPS |
|
|
Object Detection (F32)
|
100% |
1554
116.0 IPS |
|
|
Object Detection (F16)
|
100% |
1496
111.7 IPS |
|
|
Object Detection (I8)
|
62% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
3520
41.9 IPS |
|
|
Face Detection (F16)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (I8)
|
89% |
3557
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5758
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5723
44.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11520
89.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13964
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13945
18.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18839
24.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2444
87.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2540
90.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3844
137.3 IPS |
|
|
Text Classification (F32)
|
100% |
948
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1525
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1520
28.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2403
44.2 IPS |
