LENOVO 83KF
Geekbench AI Score
6204
Single Precision Score
9720
Half Precision Score
14944
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4133
768.5 IPS |
|
|
Image Classification (HP)
|
100% |
6953
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9725
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4817
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8643
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34018
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73368
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
3271
259.4 IPS |
|
|
Object Detection (HP)
|
100% |
6103
484.1 IPS |
|
|
Object Detection (Q)
|
87% |
10052
806.8 IPS |
|
|
Face Detection (SP)
|
100% |
9813
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
15698
186.5 IPS |
|
|
Face Detection (Q)
|
100% |
28668
340.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9281
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19278
148.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
36352
282.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24268
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50616
65.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92895
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14156
522.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23797
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4254
73.3 IPS |
