LENOVO 21LTS06S01
Geekbench AI Score
1972
Single Precision Score
890
Half Precision Score
1523
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
700
130.1 IPS |
|
|
Image Classification (HP)
|
0% |
0
541.4 IPS |
|
|
Image Classification (Q)
|
100% |
640
119.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4672
75.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
778
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7786
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
12007
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6899
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
226.0 IPS |
|
|
Object Detection (Q)
|
89% |
610
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3918
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13167
101.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
3146
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21796
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33103
42.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17441
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4069
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2911
107.8 IPS |
|
|
Text Classification (SP)
|
86% |
685
926.1 IPS |
|
|
Text Classification (HP)
|
99% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
83% |
459
624.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
466
10.4 IPS |
