LENOVO 83DG
Geekbench AI Score
16450
Single Precision Score
28433
Half Precision Score
12785
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:10 AM |
| Views | 1 |
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% |
6552
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
12337
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
6181
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11848
192.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15967
258.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10871
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77420
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
241054
281.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
70237
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
7816
619.9 IPS |
|
|
Object Detection (HP)
|
100% |
15325
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
6690
539.6 IPS |
|
|
Face Detection (SP)
|
100% |
21315
253.3 IPS |
|
|
Face Detection (HP)
|
100% |
30866
366.8 IPS |
|
|
Face Detection (Q)
|
97% |
18487
220.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40544
312.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78149
602.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
29941
239.5 IPS |
|
|
Style Transfer (SP)
|
100% |
130571
167.9 IPS |
|
|
Style Transfer (HP)
|
100% |
316935
407.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120489
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26033
961.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43749
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19286
714.1 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1591
29.8 IPS |
