LENOVO 83CV
Geekbench AI Score
2143
Single Precision Score
785
Half Precision Score
3684
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jaalmasudi |
| Upload Date | October 23 2025 08:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
2787
519.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
4308
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3904
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3093
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
14365
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
86% |
3252
261.4 IPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
97% |
4579
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5146
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
7431
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9423
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7150
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
11170
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2418
89.5 IPS |
|
|
Text Classification (SP)
|
100% |
734
979.8 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.3 IPS |
|
|
Text Classification (Q)
|
97% |
668
895.4 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1338
26.9 IPS |
