LENOVO 83L0
Geekbench AI Score
5001
Single Precision Score
2193
Half Precision Score
9493
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:08 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3158
587.2 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
99% |
8775
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11520
187.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8558
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6108
7.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
29193
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3711
294.4 IPS |
|
|
Object Detection (HP)
|
100% |
1027
81.4 IPS |
|
|
Object Detection (Q)
|
86% |
8523
685.0 IPS |
|
|
Face Detection (SP)
|
100% |
11261
133.8 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
11419
136.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10581
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3080
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18884
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19546
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14264
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27247
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5952
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1779
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3801
76.4 IPS |
