LENOVO 83DG
Geekbench AI Score
15866
Single Precision Score
27387
Half Precision Score
12397
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6330
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
11952
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
5694
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11037
178.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15782
255.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10582
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
72006
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
219834
256.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64676
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
7253
575.3 IPS |
|
|
Object Detection (HP)
|
100% |
13518
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
6396
515.9 IPS |
|
|
Face Detection (SP)
|
100% |
20168
239.6 IPS |
|
|
Face Detection (HP)
|
100% |
31109
369.6 IPS |
|
|
Face Detection (Q)
|
97% |
16057
191.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38077
293.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73498
566.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
31761
254.1 IPS |
|
|
Style Transfer (SP)
|
100% |
124774
160.4 IPS |
|
|
Style Transfer (HP)
|
100% |
325933
419.0 IPS |
|
|
Style Transfer (Q)
|
98% |
112291
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25412
938.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42941
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20512
759.5 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1667
31.3 IPS |
