LENOVO 83DA
Geekbench AI Score
2345
Single Precision Score
2264
Half Precision Score
5577
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | exalted |
| Upload Date | April 10 2025 01:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1220
226.8 IPS |
|
|
Image Classification (HP)
|
100% |
1225
227.7 IPS |
|
|
Image Classification (Q)
|
100% |
4220
784.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4462
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4077
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
9131
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
88% |
3197
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
7457
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3131
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3472
26.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9328
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8877
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25171
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5553
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2792
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
