LENOVO 83L0
Geekbench AI Score
5072
Single Precision Score
2170
Half Precision Score
9508
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83L0 |
| 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% |
4038
751.0 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (Q)
|
99% |
8159
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11323
184.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
28428
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
8459
679.9 IPS |
|
|
Face Detection (SP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (HP)
|
100% |
2279
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
11365
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10551
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3114
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19236
153.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13927
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28068
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5905
218.6 IPS |
|
|
Text Classification (SP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1795
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4182
84.0 IPS |
