LENOVO 83CV
Geekbench AI Score
2256
Single Precision Score
8682
Half Precision Score
13654
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | wei971214 |
| Upload Date | February 08 2026 07:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
4382
814.9 IPS |
|
|
Image Classification (Q)
|
100% |
7594
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2987
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3044
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
29837
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65613
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
5365
425.6 IPS |
|
|
Object Detection (Q)
|
88% |
9059
726.3 IPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
15871
188.6 IPS |
|
|
Face Detection (Q)
|
100% |
29056
345.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3799
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17028
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31159
242.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9379
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49358
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88171
113.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14049
518.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27178
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1838
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4191
72.2 IPS |
