LENOVO 83DA
Geekbench AI Score
2539
Single Precision Score
6733
Half Precision Score
10272
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 09:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
4465
830.3 IPS |
|
|
Image Classification (Q)
|
100% |
5871
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2123
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3595
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
19355
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
42580
49.9 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
4022
319.1 IPS |
|
|
Object Detection (Q)
|
88% |
6565
526.3 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
14827
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
19172
227.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4198
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17483
134.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32430
252.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10451
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35763
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61789
79.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9376
346.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21994
814.5 IPS |
|
|
Text Classification (SP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1424
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3122
53.8 IPS |
