LENOVO 83DC
Geekbench AI Score
1527
Single Precision Score
700
Half Precision Score
2254
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DC |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1938
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
2680
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
86% |
2823
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
5007
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
97% |
762
9.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1212
9.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
6909
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8620
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5654
7.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12473
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2191
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
734
979.1 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.4 IPS |
|
|
Text Classification (Q)
|
97% |
717
960.0 IPS |
|
|
Machine Translation (SP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
65% |
1372
27.6 IPS |
