LENOVO 83CV
Geekbench AI Score
2492
Single Precision Score
1035
Half Precision Score
4777
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 04:30 AM |
| Views | 2 |
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% |
2462
457.8 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
4737
883.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6954
113.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5053
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
12231
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2018
160.1 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
86% |
2896
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
5752
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1420
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10873
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9997
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
4352
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14065
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
544
726.6 IPS |
|
|
Text Classification (Q)
|
97% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
65% |
2178
43.8 IPS |
