LENOVO 21CBS0FH00
Geekbench AI Score
807
Single Precision Score
365
Half Precision Score
1807
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21CBS0FH00 |
| Motherboard | LENOVO 21CBS0FH00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
1212
226.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
3496
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
86% |
1072
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
1948
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4845
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3154
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1974
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
5732
7.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1894
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
346
462.2 IPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
65% |
843
16.9 IPS |
