LENOVO 83KF
Geekbench AI Score
5726
Single Precision Score
5662
Half Precision Score
13922
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 12:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3662
681.0 IPS |
|
|
Image Classification (HP)
|
100% |
4111
764.4 IPS |
|
|
Image Classification (Q)
|
100% |
9622
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4440
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9952
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
7007
8.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
27357
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3052
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
3491
276.9 IPS |
|
|
Object Detection (Q)
|
88% |
9862
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
9195
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
10086
119.8 IPS |
|
|
Face Detection (Q)
|
100% |
19698
234.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8635
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8731
67.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22995
178.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21987
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20260
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
74577
96.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14360
531.8 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
6007
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5447
93.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3636
62.6 IPS |
