LENOVO 83D2
Geekbench AI Score
5345
Single Precision Score
8383
Half Precision Score
3854
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2701
502.3 IPS |
|
|
Image Classification (HP)
|
100% |
4851
902.1 IPS |
|
|
Image Classification (Q)
|
100% |
2327
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8786
142.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2909
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15944
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21285
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13656
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2926
232.1 IPS |
|
|
Object Detection (HP)
|
99% |
5517
438.9 IPS |
|
|
Object Detection (Q)
|
86% |
2443
196.4 IPS |
|
|
Face Detection (SP)
|
100% |
5297
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
10099
120.0 IPS |
|
|
Face Detection (Q)
|
97% |
3955
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11186
86.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
23092
178.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
8724
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46390
59.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70274
90.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34651
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7871
290.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11960
441.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4252
157.4 IPS |
|
|
Text Classification (SP)
|
86% |
843
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
731
975.8 IPS |
|
|
Text Classification (Q)
|
84% |
616
835.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1023
19.2 IPS |
