LENOVO 21LTS40R0X
Geekbench AI Score
1028
Single Precision Score
375
Half Precision Score
3516
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | vbour |
| Upload Date | June 16 2025 01:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
923
171.7 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
97% |
2758
514.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
2083
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8628
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (Q)
|
86% |
2943
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.04 IPS |
|
|
Face Detection (Q)
|
97% |
7774
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
6574
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2813
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3190
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
11270
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2410
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (Q)
|
97% |
1233
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1159
23.3 IPS |
