LENOVO 83CV
Geekbench AI Score
2444
Single Precision Score
1033
Half Precision Score
5365
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | manojg |
| Upload Date | October 20 2025 05:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83CV |
| 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% |
2428
451.6 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
5056
943.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
6862
111.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
13733
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
4651
373.8 IPS |
|
|
Face Detection (SP)
|
100% |
6246
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
7761
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3946
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11049
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8443
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5902
7.59 IPS |
|
|
Style Transfer (Q)
|
98% |
13877
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3825
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
657
876.7 IPS |
|
|
Text Classification (Q)
|
97% |
1086
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1806
36.3 IPS |
