LENOVO 21L2S09C01
Geekbench AI Score
1959
Single Precision Score
889
Half Precision Score
1502
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:02 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% |
711
132.1 IPS |
|
|
Image Classification (HP)
|
0% |
0
551.7 IPS |
|
|
Image Classification (Q)
|
100% |
614
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4749
77.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7616
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
11937
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6706
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
225.2 IPS |
|
|
Object Detection (Q)
|
89% |
609
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (Q)
|
97% |
873
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3895
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12563
97.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
3189
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21718
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32823
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17145
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2854
105.7 IPS |
|
|
Text Classification (SP)
|
86% |
716
968.1 IPS |
|
|
Text Classification (HP)
|
99% |
524
698.9 IPS |
|
|
Text Classification (Q)
|
83% |
493
671.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
453
10.1 IPS |
