LENOVO 83KF
Geekbench AI Score
5054
Single Precision Score
3616
Half Precision Score
13185
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | PhaniPavanK |
| Upload Date | March 08 2026 11:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3273
608.8 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
100% |
8847
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9994
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
17951
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3136
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (Q)
|
88% |
9023
723.3 IPS |
|
|
Face Detection (SP)
|
100% |
7809
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
19790
235.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7486
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5373
41.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23921
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14659
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10108
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55315
71.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3419
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2456
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13439
497.7 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5356
92.3 IPS |
