LENOVO 20WE
Geekbench AI Score
527
Single Precision Score
545
Half Precision Score
288
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 12 2025 04:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 20WE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
467
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
85% |
197
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
463
5.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
641
4.94 IPS |
|
|
Depth Estimation (Q)
|
63% |
393
3.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1061
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
929
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1021
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
271
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.5 IPS |
|
|
Text Classification (Q)
|
92% |
173
231.9 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
58% |
147
3.45 IPS |
