LENOVO 21L2S09C01
Geekbench AI Score
1936
Single Precision Score
889
Half Precision Score
1507
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21L2S09C01 |
| Motherboard | LENOVO 21L2S09C01 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
550.5 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4694
76.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7611
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
12006
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6724
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
221.2 IPS |
|
|
Object Detection (Q)
|
89% |
604
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
886
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3916
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12807
99.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
3171
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21664
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32815
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17544
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2854
105.7 IPS |
|
|
Text Classification (SP)
|
86% |
706
954.4 IPS |
|
|
Text Classification (HP)
|
99% |
524
698.8 IPS |
|
|
Text Classification (Q)
|
83% |
497
676.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
60% |
452
10.1 IPS |
