LENOVO 83DA
Geekbench AI Score
2357
Single Precision Score
1223
Half Precision Score
4707
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 12:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1990
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
4288
799.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6400
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4311
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
15383
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
952
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7123
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1789
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11389
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10380
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8001
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17013
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.4 IPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2168
43.6 IPS |
