LENOVO 83L0
Geekbench AI Score
5129
Single Precision Score
2191
Half Precision Score
9566
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 01:29 PM |
| Views | 2 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3734
694.4 IPS |
|
|
Image Classification (HP)
|
100% |
785
145.9 IPS |
|
|
Image Classification (Q)
|
99% |
8638
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11525
187.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
30046
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3850
305.4 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
86% |
8906
715.8 IPS |
|
|
Face Detection (SP)
|
100% |
10936
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
11284
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10860
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3127
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18745
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19888
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14111
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26198
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5930
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4171
83.8 IPS |
