LENOVO 21LTS06S01
Geekbench AI Score
2069
Single Precision Score
528
Half Precision Score
2785
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:58 PM |
| 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 21LTS06S01 |
| Motherboard | LENOVO 21LTS06S01 |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
2533
472.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1963
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
12648
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
88% |
1199
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.73 IPS |
|
|
Face Detection (Q)
|
97% |
2991
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4210
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.23 IPS |
|
|
Depth Estimation (Q)
|
76% |
5414
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8198
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5689
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
13603
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2633
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
97% |
412
551.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1561
34.8 IPS |
