LENOVO 83KY
Geekbench AI Score
7499
Single Precision Score
8948
Half Precision Score
13890
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 04:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83KY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4263
792.8 IPS |
|
|
Image Classification (HP)
|
100% |
6499
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9070
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7297
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12657
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30372
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
66927
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
5563
441.2 IPS |
|
|
Object Detection (Q)
|
87% |
9232
741.0 IPS |
|
|
Face Detection (SP)
|
100% |
13859
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
15355
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
26212
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12633
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16676
128.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31115
242.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25659
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46714
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84527
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12742
470.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24465
906.0 IPS |
|
|
Text Classification (SP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1981
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4012
69.1 IPS |
