LENOVO 21LE
Geekbench ML Score
2938
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 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% |
1451
271.5 IPS |
|
|
Image Classification (F16)
|
100% |
1490
278.8 IPS |
|
|
Image Classification (I8)
|
99% |
2703
505.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1267
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2497
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4927
5.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
5059
6.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
20321
24.6 IPS |
|
|
Object Detection (F32)
|
100% |
1544
115.2 IPS |
|
|
Object Detection (F16)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (I8)
|
62% |
1208
90.2 IPS |
|
|
Face Detection (F32)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (F16)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (I8)
|
89% |
3312
39.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5320
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5666
43.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11984
92.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12201
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12363
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
16728
22.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2524
90.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2576
92.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4294
153.4 IPS |
|
|
Text Classification (F32)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1089
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
452
649.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2574
47.4 IPS |
