LENOVO 21L2S09C01
Geekbench AI Score
1966
Single Precision Score
893
Half Precision Score
1477
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:54 AM |
| 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
126.9 IPS |
|
|
Image Classification (HP)
|
0% |
0
513.9 IPS |
|
|
Image Classification (Q)
|
100% |
624
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4629
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7623
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
11991
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6724
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
0% |
0
217.3 IPS |
|
|
Object Detection (Q)
|
89% |
606
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3926
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13125
101.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
3204
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21811
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31690
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17551
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4192
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2890
107.0 IPS |
|
|
Text Classification (SP)
|
86% |
731
988.1 IPS |
|
|
Text Classification (HP)
|
99% |
518
691.7 IPS |
|
|
Text Classification (Q)
|
83% |
384
522.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
60% |
462
10.3 IPS |
