LENOVO 83D4
Geekbench AI Score
2605
Single Precision Score
1154
Half Precision Score
4483
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 05:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83D4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
4588
855.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3969
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4184
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
14703
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
3613
290.4 IPS |
|
|
Face Detection (SP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6782
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1743
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11050
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9407
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5694
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13038
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3692
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
612
817.0 IPS |
|
|
Text Classification (Q)
|
97% |
506
678.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1860
37.4 IPS |
