LENOVO 83L0
Geekbench AI Score
6191
Single Precision Score
9937
Half Precision Score
15071
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 10 2025 09:15 AM |
| Views | 10 |
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 83L0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4296
798.9 IPS |
|
|
Image Classification (HP)
|
100% |
6967
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9426
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3896
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8637
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34327
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73671
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
3420
271.3 IPS |
|
|
Object Detection (HP)
|
100% |
6097
483.6 IPS |
|
|
Object Detection (Q)
|
87% |
9797
786.3 IPS |
|
|
Face Detection (SP)
|
100% |
9990
118.7 IPS |
|
|
Face Detection (HP)
|
100% |
16920
201.0 IPS |
|
|
Face Detection (Q)
|
100% |
31934
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8855
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19815
152.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36144
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24079
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54618
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
98613
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14209
524.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23702
877.8 IPS |
|
|
Text Classification (SP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2008
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4179
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4211
72.5 IPS |
