LENOVO 21LTS06S01
Geekbench AI Score
2066
Single Precision Score
523
Half Precision Score
2828
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:40 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
2471
461.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1911
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
12536
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (Q)
|
88% |
1266
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (Q)
|
97% |
3018
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4163
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
661
5.09 IPS |
|
|
Depth Estimation (Q)
|
76% |
5946
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8466
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5650
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
13979
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2859
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
433
577.8 IPS |
|
|
Text Classification (Q)
|
97% |
411
549.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1482
33.1 IPS |
