LENOVO 21BSS0N800
Geekbench AI Score
1723
Single Precision Score
733
Half Precision Score
2312
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 01:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1270P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21BSS0N800 |
| Motherboard | LENOVO 21BSS0N800 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
99% |
347
64.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
857
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
2946
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3072
246.9 IPS |
|
|
Face Detection (SP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5014
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3730
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
7612
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6826
8.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4838
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
12990
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2547
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.6 IPS |
|
|
Text Classification (Q)
|
97% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1586
31.9 IPS |
