LENOVO 83KF
Geekbench AI Score
5607
Single Precision Score
10101
Half Precision Score
15408
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 12:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (HP)
|
100% |
7033
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9587
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4426
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3563
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
34765
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74230
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
2854
226.4 IPS |
|
|
Object Detection (HP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (Q)
|
88% |
10240
820.9 IPS |
|
|
Face Detection (SP)
|
100% |
9299
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
17002
202.0 IPS |
|
|
Face Detection (Q)
|
100% |
30214
359.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8546
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19911
153.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
35881
279.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21887
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54199
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96728
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16039
592.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30682
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2030
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4448
76.6 IPS |
