LENOVO 83L0
Geekbench AI Score
4379
Single Precision Score
9669
Half Precision Score
14666
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | October 30 2025 02:07 PM |
| Views | 1 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2383
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
6641
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9151
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3663
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3901
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
34321
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73979
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
100% |
5937
470.9 IPS |
|
|
Object Detection (Q)
|
87% |
9753
782.7 IPS |
|
|
Face Detection (SP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
16032
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
29918
355.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6640
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19269
148.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35137
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19123
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53345
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96466
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3091
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13874
512.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22841
845.9 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1966
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1928
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4005
69.0 IPS |
