LENOVO 21L2S09C01
Geekbench AI Score
2158
Single Precision Score
2134
Half Precision Score
6096
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (Q)
|
100% |
4028
749.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3741
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3055
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10392
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (Q)
|
88% |
3407
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
8204
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3693
28.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
3540
27.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
10077
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32129
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5753
213.1 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.2 IPS |
|
|
Text Classification (Q)
|
92% |
2947
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (Q)
|
85% |
2954
51.7 IPS |
