LENOVO 83DG
Geekbench AI Score
3541
Single Precision Score
1075
Half Precision Score
6206
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 08 2025 05:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2915
542.0 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
4469
833.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10565
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7826
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
21925
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2899
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
4830
388.2 IPS |
|
|
Face Detection (SP)
|
100% |
8958
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
7587
90.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12100
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16690
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7908
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19267
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4131
153.0 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
474
633.2 IPS |
|
|
Text Classification (Q)
|
97% |
992
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2340
47.0 IPS |
