LENOVO 21L1CTO1WW
Geekbench ML Score
2309
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:44 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% |
1022
191.3 IPS |
|
|
Image Classification (F16)
|
100% |
1020
190.8 IPS |
|
|
Image Classification (I8)
|
99% |
2188
409.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
890
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2165
36.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3298
3.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
3326
4.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
14098
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1072
80.1 IPS |
|
|
Object Detection (F16)
|
100% |
1117
83.4 IPS |
|
|
Object Detection (I8)
|
62% |
1250
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (I8)
|
89% |
3148
37.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3792
29.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3942
30.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
9360
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8805
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8767
11.5 IPS |
|
|
Style Transfer (I8)
|
98% |
14270
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2049
73.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1969
70.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3671
131.1 IPS |
|
|
Text Classification (F32)
|
100% |
1046
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
474
681.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1394
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1402
25.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2305
42.4 IPS |
