LENOVO 83D2
Geekbench AI Score
2771
Single Precision Score
1132
Half Precision Score
5089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83D2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2150
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
99% |
4751
886.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4487
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
16391
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.1 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
4622
371.5 IPS |
|
|
Face Detection (SP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
7048
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1711
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11881
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10947
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8047
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17765
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3031
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
423
565.0 IPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2159
43.4 IPS |
