LENOVO 21L1CTO1WW
Geekbench ML Score
2303
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21L1CTO1WW |
| Motherboard | LENOVO 21L1CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 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% |
1015
190.0 IPS |
|
|
Image Classification (F16)
|
100% |
1015
190.0 IPS |
|
|
Image Classification (I8)
|
99% |
2170
406.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
862
14.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2213
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3358
4.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
3317
4.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
14224
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1130
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
1114
83.2 IPS |
|
|
Object Detection (I8)
|
62% |
1253
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (F16)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (I8)
|
89% |
3251
38.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3864
30.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3994
31.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
9098
70.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8793
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8933
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14673
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1938
69.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1861
66.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3665
130.9 IPS |
|
|
Text Classification (F32)
|
100% |
1028
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1035
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
478
686.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1296
23.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2137
39.3 IPS |
