LENOVO 83CV
Geekbench AI Score
2804
Single Precision Score
1205
Half Precision Score
5070
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kmhuraib |
| Upload Date | March 14 2026 09:26 PM |
| Views | 10 |
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 |
| Power Plan | Balanced |
| 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% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
4352
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3971
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
16751
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
4565
366.8 IPS |
|
|
Face Detection (SP)
|
100% |
5902
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6910
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1774
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10633
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9529
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6720
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
16991
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3622
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.2 IPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2174
43.7 IPS |
