LENOVO 83KF
Geekbench AI Score
2407
Single Precision Score
2446
Half Precision Score
1663
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | PhaniPavanK |
| Upload Date | March 08 2026 11:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.1 IPS |
|
|
Image Classification (Q)
|
99% |
1285
239.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2895
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
4264
5.00 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (Q)
|
85% |
1277
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
1500
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2338
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2673
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2154
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3856
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3803
4.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6877
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2040
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
1180
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
713
958.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
58% |
646
15.2 IPS |
