LENOVO 21L2S09C01
Geekbench AI Score
2076
Single Precision Score
553
Half Precision Score
3040
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1417
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
99% |
2605
485.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1988
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3543
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
13916
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
1154
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.05 IPS |
|
|
Face Detection (Q)
|
97% |
3220
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4310
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
6252
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8917
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5647
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
14435
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3323
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.7 IPS |
|
|
Text Classification (Q)
|
97% |
506
677.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
60% |
1661
37.1 IPS |
