LENOVO 83L0
Geekbench AI Score
4452
Single Precision Score
8579
Half Precision Score
12268
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 11 2025 02:10 PM |
| 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% |
3056
568.3 IPS |
|
|
Image Classification (HP)
|
100% |
5413
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6379
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3769
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
33592
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
66411
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
5367
425.7 IPS |
|
|
Object Detection (Q)
|
87% |
7840
629.2 IPS |
|
|
Face Detection (SP)
|
100% |
6941
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
15537
184.6 IPS |
|
|
Face Detection (Q)
|
100% |
28351
336.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6906
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18515
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36942
287.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51892
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
94780
122.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11870
438.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16991
629.2 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3179
54.8 IPS |
