LENOVO 21LTS40R0X
Geekbench AI Score
980
Single Precision Score
935
Half Precision Score
639
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | vbour |
| Upload Date | June 16 2025 01:09 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 21LTS40R0X |
| Motherboard | LENOVO 21LTS40R0X |
| 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 | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
99% |
402
75.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
926
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1087
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
85% |
407
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1019
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1078
8.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1086
8.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
783
7.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1768
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1745
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2439
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
711
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
584
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.4 IPS |
|
|
Text Classification (HP)
|
100% |
595
794.8 IPS |
|
|
Text Classification (Q)
|
92% |
310
416.0 IPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
58% |
294
6.89 IPS |
