LENOVO 21LTS06S01
Geekbench AI Score
1995
Single Precision Score
523
Half Precision Score
2734
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:43 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 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
2434
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1931
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
12262
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
88% |
1202
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.66 IPS |
|
|
Face Detection (Q)
|
97% |
2844
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3990
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.94 IPS |
|
|
Depth Estimation (Q)
|
76% |
5808
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8298
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5671
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
13715
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2542
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.5 IPS |
|
|
Text Classification (Q)
|
97% |
398
532.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1475
32.9 IPS |
