LENOVO 83D2
Geekbench AI Score
2876
Single Precision Score
1111
Half Precision Score
5553
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| 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% |
2601
483.8 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
99% |
4919
917.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7324
119.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
15940
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
4414
354.7 IPS |
|
|
Face Detection (SP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
7501
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1510
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11716
93.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10042
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7057
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
17700
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1166
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
554
740.0 IPS |
|
|
Text Classification (Q)
|
97% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1970
39.6 IPS |
