LENOVO 83D2
Geekbench AI Score
2856
Single Precision Score
8979
Half Precision Score
13992
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 04:33 PM |
| Views | 4 |
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 83D2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1753
325.9 IPS |
|
|
Image Classification (HP)
|
100% |
6249
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8805
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
30698
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65676
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
5445
431.9 IPS |
|
|
Object Detection (Q)
|
88% |
9137
732.5 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
15189
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
28936
343.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4219
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17543
135.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32702
254.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10415
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48769
62.7 IPS |
|
|
Style Transfer (Q)
|
98% |
89686
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14284
527.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27484
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1867
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3995
68.8 IPS |
