LENOVO 21CD0075US
Geekbench AI Score
2570
Single Precision Score
1054
Half Precision Score
3757
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 05:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1270P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21CD0075US |
| Motherboard | LENOVO 21CD0075US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1270P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
3867
721.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2047
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3952
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2594
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
10676
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
3253
261.4 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
5909
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9636
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9015
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6094
7.83 IPS |
|
|
Style Transfer (Q)
|
98% |
15039
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2901
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
560
747.4 IPS |
|
|
Text Classification (Q)
|
97% |
422
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1947
39.1 IPS |
