LENOVO 21L2S09C01
Geekbench AI Score
1992
Single Precision Score
524
Half Precision Score
2807
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:58 PM |
| Views | 2 |
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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2456
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1967
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
11914
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1348
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
88% |
1249
100.1 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
2761
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4152
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
5854
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8049
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13982
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2833
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (Q)
|
97% |
512
686.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
60% |
1293
28.8 IPS |
