LENOVO 21L1CTO1WW
Geekbench ML Score
2277
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:39 PM |
| Views | 3 |
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% |
1003
187.7 IPS |
|
|
Image Classification (F16)
|
100% |
992
185.6 IPS |
|
|
Image Classification (I8)
|
99% |
2191
409.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2140
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3257
3.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
3171
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
13838
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
1124
83.9 IPS |
|
|
Object Detection (I8)
|
62% |
1320
98.5 IPS |
|
|
Face Detection (F32)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (I8)
|
89% |
3134
37.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3832
29.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3790
29.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
9350
72.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9009
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8907
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14347
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1983
70.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1796
64.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3722
132.9 IPS |
|
|
Text Classification (F32)
|
100% |
1047
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1048
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
441
633.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2223
40.9 IPS |
