LENOVO 83D2
Geekbench AI Score
2908
Single Precision Score
8981
Half Precision Score
13974
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:52 PM |
| Views | 2 |
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% |
1787
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
6311
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8772
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3136
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4084
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
30650
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66245
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
5436
431.2 IPS |
|
|
Object Detection (Q)
|
88% |
9137
732.5 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
15565
184.9 IPS |
|
|
Face Detection (Q)
|
100% |
29230
347.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4132
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17543
135.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32091
249.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10330
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48503
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88850
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14233
525.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27636
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3973
68.4 IPS |
