LENOVO 83DA
Geekbench AI Score
2713
Single Precision Score
9217
Half Precision Score
14428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | November 02 2025 06:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
6560
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9347
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
30115
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64731
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
5580
442.6 IPS |
|
|
Object Detection (Q)
|
88% |
9509
762.4 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
15674
186.2 IPS |
|
|
Face Detection (Q)
|
100% |
29596
351.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4464
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17387
134.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32586
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10604
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47957
61.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88509
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14493
535.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28643
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2062
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4392
75.7 IPS |
