LENOVO 21CB0070US
Geekbench ML Score
1699
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21CB0070US |
| Motherboard | LENOVO 21CB0070US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1265U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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% |
1257
235.2 IPS |
|
|
Image Classification (F16)
|
100% |
1257
235.2 IPS |
|
|
Image Classification (I8)
|
99% |
1581
295.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
642
10.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1594
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1908
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1653
2.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
5234
6.34 IPS |
|
|
Object Detection (F32)
|
100% |
1139
85.0 IPS |
|
|
Object Detection (F16)
|
100% |
680
50.8 IPS |
|
|
Object Detection (I8)
|
62% |
1000
74.6 IPS |
|
|
Face Detection (F32)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (I8)
|
89% |
2023
24.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2082
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3146
24.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
5996
46.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4462
5.87 IPS |
|
|
Style Transfer (F16)
|
100% |
6598
8.68 IPS |
|
|
Style Transfer (I8)
|
98% |
10781
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1625
58.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1739
62.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2330
83.2 IPS |
|
|
Text Classification (F32)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1018
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
975
1.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
845
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1431
26.3 IPS |
