LENOVO 83NC
Geekbench AI Score
3998
Single Precision Score
4163
Half Precision Score
10769
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cammabis |
| Upload Date | November 16 2025 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83NC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
100% |
7069
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5302
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5816
6.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
21922
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2915
231.2 IPS |
|
|
Object Detection (Q)
|
88% |
7706
617.8 IPS |
|
|
Face Detection (SP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
15483
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6905
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7301
56.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
19366
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16120
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16057
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56901
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3133
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11897
440.6 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
4907
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3329
57.3 IPS |
