LENOVO 83DG
Geekbench AI Score
18394
Single Precision Score
28036
Half Precision Score
13745
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 05 2025 03:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7015
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10936
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
5457
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11198
181.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15053
244.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11492
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
121601
141.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
283712
331.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106070
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
7619
604.3 IPS |
|
|
Object Detection (HP)
|
100% |
14250
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
6478
521.5 IPS |
|
|
Face Detection (SP)
|
100% |
22584
268.3 IPS |
|
|
Face Detection (HP)
|
100% |
27755
329.8 IPS |
|
|
Face Detection (Q)
|
97% |
17025
203.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45810
352.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80311
618.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
38755
309.7 IPS |
|
|
Style Transfer (SP)
|
100% |
185953
239.0 IPS |
|
|
Style Transfer (HP)
|
100% |
399193
513.2 IPS |
|
|
Style Transfer (Q)
|
98% |
163684
211.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32687
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46698
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21423
793.3 IPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3484
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3115
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1551
29.1 IPS |
