LENOVO 83DG
Geekbench AI Score
18845
Single Precision Score
30087
Half Precision Score
14941
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Akshat_Pal |
| Upload Date | December 08 2025 05:43 AM |
| Views | 5 |
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% |
6813
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
11767
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
7025
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13894
225.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18041
292.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11749
191.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
123250
143.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
296180
345.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
105286
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
8445
669.9 IPS |
|
|
Object Detection (HP)
|
100% |
14693
1.17 KIPS |
|
|
Object Detection (Q)
|
85% |
8319
669.7 IPS |
|
|
Face Detection (SP)
|
100% |
20742
246.5 IPS |
|
|
Face Detection (HP)
|
100% |
33963
403.6 IPS |
|
|
Face Detection (Q)
|
97% |
18754
223.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48496
373.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86257
664.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
40048
320.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187758
241.4 IPS |
|
|
Style Transfer (HP)
|
100% |
448895
577.1 IPS |
|
|
Style Transfer (Q)
|
98% |
168941
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34529
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45655
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24075
891.5 IPS |
|
|
Text Classification (SP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3426
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1584
29.7 IPS |
