LENOVO 83KF
Geekbench AI Score
5951
Single Precision Score
10023
Half Precision Score
15644
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | July 02 2025 11:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3870
719.6 IPS |
|
|
Image Classification (HP)
|
100% |
7030
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9799
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4720
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3538
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8564
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
34843
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75693
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
6067
481.3 IPS |
|
|
Object Detection (Q)
|
88% |
10198
817.6 IPS |
|
|
Face Detection (SP)
|
100% |
10141
120.5 IPS |
|
|
Face Detection (HP)
|
100% |
17355
206.2 IPS |
|
|
Face Detection (Q)
|
100% |
32909
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8854
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19753
152.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36589
284.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53273
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
98854
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16068
593.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30646
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2085
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4314
74.3 IPS |
