LENOVO 83DG
Geekbench AI Score
4633
Single Precision Score
1639
Half Precision Score
7504
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Sn0w0nS |
| Upload Date | March 15 2025 04:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Gebalanceerd |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3847
715.4 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
6791
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3661
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7835
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4421
5.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
25391
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (HP)
|
100% |
748
59.4 IPS |
|
|
Object Detection (Q)
|
86% |
6853
550.8 IPS |
|
|
Face Detection (SP)
|
100% |
8804
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
10658
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10172
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16034
127.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18788
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11149
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24229
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1833
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3363
67.6 IPS |
